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Recent advancements in artificial intelligence (AI), particularly in large language models (LLMs) such as OpenAI-o1 and DeepSeek-R1, have demonstrated remarkable capabilities in complex domains such as logical reasoning and experimental coding.
Neural related work summarization with a joint context-driven attention mechanism
Yongzhen Wang, Xiaozhong Liu, and Zheng Gao · 1901
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Pre-writing: The stage of discovery in the writing process
D Gordon Rohman · 1965
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Analyzing the past to prepare for the future: Writing a literature review
Jane Webster and Richard T Watson · 2002
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Functional genomic hypothesis generation and experimentation by a robot scientist
Ross D King, Kenneth E Whelan, Ffion M Jones, Philip GK Reiser, Christopher H Bryant, Stephen H Muggleton, Douglas B Kell, and Stephen G Oliver · 2004
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Towards automated related work summarization
Cong Duy Vu Hoang and Min-Yen Kan · 2010
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A framework for optimizing paper matching
Laurent Charlin, Richard Zemel, and Craig Boutilier · 2011
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Popular and/or prestigious? measures of scholarly esteem
Ying Ding and Blaise Cronin · 2011
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The toronto paper matching system: an automated paper-reviewer assignment system
Laurent Charlin and Richard Zemel · 2013
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Automatic generation of related work sections in scientific papers: an optimization approach
Yue Hu and Xiaojun Wan · 2014
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An overview of microsoft academic service (mas) and applications
Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June Hsu, and Kuansan Wang · 2015
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Helping editors find reviewers
Adrian Tedford · 2015
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Measuring academic influence: Not all citations are equal
Xiaodan Zhu, Peter Turney, Daniel Lemire, and André Vellino · 2015
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Languages are still a major barrier to global science
Tatsuya Amano, Juan P González-Varo, and William J Sutherland · 2016
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Interaction networks for learning about objects, relations and physics
Peter Battaglia, Razvan Pascanu, Matthew Lai, Danilo Jimenez Rezende, et al · 2016
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Paper recommender systems: a literature survey
Joeran Beel, Bela Gipp, Stefan Langer, and Corinna Breitinger · 2016
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Relative citation ratio (rcr): a new metric that uses citation rates to measure influence at the article level
B Ian Hutchins, Xin Yuan, James M Anderson, and George M Santangelo · 2016
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End-to-end training of deep visuomotor policies
Sergey Levine, Chelsea Finn, Trevor Darrell, and Pieter Abbeel · 2016
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Factors affecting number of citations: a comprehensive review of the literature
Iman Tahamtan, Askar Safipour Afshar, and Khadijeh Ahamdzadeh · 2016
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Literature based discovery: models, methods, and trends
Sam Henry and Bridget T McInnes · 2017
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Domain randomization for transferring deep neural networks from simulation to the real world
Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, and Pieter Abbeel · 2017
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Learning to split and rephrase from wikipedia edit history
Jan A Botha, Manaal Faruqui, John Alex, Jason Baldridge, and Dipanjan Das · 2018
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Machine learning for molecular and materials science
Keith T Butler, Daniel W Davies, Hugh Cartwright, Olexandr Isayev, and Aron Walsh · 2018
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End-to-end differentiable physics for learning and control
Filipe de Avila Belbute-Peres, Kevin Smith, Kelsey Allen, Josh Tenenbaum, and J Zico Kolter · 2018
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Molgan: An implicit generative model for small molecular graphs
Nicola De Cao and Thomas Kipf · 2018
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Wikiatomicedits: A multilingual corpus of wikipedia edits for modeling language and discourse
Manaal Faruqui, Ellie Pavlick, Ian Tenney, and Dipanjan Das · 2018
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Automatic chemical design using a data-driven continuous representation of molecules
Rafael Gómez-Bombarelli, Jennifer N Wei, David Duvenaud, José Miguel Hernández-Lobato, Benjamín Sánchez-Lengeling, Dennis Sheberla, Jorge Aguilera-Iparraguirre, Timothy D Hirzel, Ryan P Adams, and Alán Aspuru-Guzik · 2018
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Scalable deep reinforcement learning for vision-based robotic manipulation
Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, et al · 2018
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A dataset of peer reviews (peerread): Collection, insights and nlp applications
Dongyeop Kang, Waleed Ammar, Bhavana Dalvi, Madeleine van Zuylen, Sebastian Kohlmeier, Eduard Hovy, and Roy Schwartz · 2018
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Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
Sergey Levine, Peter Pastor, Alex Krizhevsky, Julian Ibarz, and Deirdre Quillen · 2018
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Pistis: A conflict of interest declaration and detection system for peer review management
Siyuan Wu, Leong Hou U, Sourav S Bhowmick, and Wolfgang Gatterbauer · 2018
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Scientific paper recommendation: A survey
Xiaomei Bai, Mengyang Wang, Ivan Lee, Zhuo Yang, Xiangjie Kong, and Feng Xia · 2019
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SciBERT: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan · 2019
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Graph networks as a universal machine learning framework for molecules and crystals
Chi Chen, Weike Ye, Yunxing Zuo, Chen Zheng, and Shyue Ping Ong · 2019
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Automatic generation of related work through summarizing citations
Jingqiang Chen and Hai Zhuge · 2019
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Boolq: Exploring the surprising difficulty of natural yes/no questions
Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, and Kristina Toutanova · 2019
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Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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Look, read and enrich-learning from scientific figures and their captions
Jose Manuel Gomez-Perez and Raul Ortega · 2019
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Hamiltonian neural networks
Samuel Greydanus, Misko Dzamba, and Jason Yosinski · 2019
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Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki, and Kentaro Inui · 2019
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Pubmedqa: A dataset for biomedical research question answering
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W Cohen, and Xinghua Lu · 2019
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A review on personalized academic paper recommendation
Zhi Li and Xiaozhu Zou · 2019
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Citetracked: A longitudinal dataset of peer reviews and citations
Barbara Plank and Reinard van Dalen · 2019
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Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
Maziar Raissi, Paris Perdikaris, and George E Karniadakis · 2019
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A hybrid approach to privacy-preserving federated learning
Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, and Yi Zhou · 2019
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Toc-rwg: Explore the combination of topic model and citation information for automatic related work generation
Pancheng Wang, Shasha Li, Haifang Zhou, Jintao Tang, and Ting Wang · 2019
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Uniter: Universal image-text representation learning
Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, and Jingjing Liu · 2020
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Miles Cranmer, Sam Greydanus, Stephan Hoyer, Peter Battaglia, David Spergel, and Shirley Ho · 2020
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Felix Faltings, Michel Galley, Gerold Hintz, Chris Brockett, Chris Quirk, Jianfeng Gao, and Bill Dolan · 2020
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A review of applications in federated learning
Li Li, Yuxi Fan, Mike Tse, and Kuo-Yi Lin · 2020
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Self-driving laboratory for accelerated discovery of thin-film materials
Benjamin P MacLeod, Fraser GL Parlane, Thomas D Morrissey, Florian Häse, Loïc M Roch, Kevan E Dettelbach, Raphaell Moreira, Lars PE Yunker, Michael B Rooney, Joseph R Deeth, et al · 2020
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Generative language modeling for automated theorem proving
Stanislas Polu and Ilya Sutskever · 2020
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An automated conflict of interest based greedy approach for conference paper assignment system
Dinesh K Pradhan, Joyita Chakraborty, Prasenjit Choudhary, and Subrata Nandi · 2020
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Dynamic fusion network for multi-domain end-to-end task-oriented dialog
Libo Qin, Xiao Xu, Wanxiang Che, Yue Zhang, and Ting Liu · 2020
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Open-retrieval conversational question answering
Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W Bruce Croft, and Mohit Iyyer · 2020
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Masoud Jalili Sabet, Philipp Dufter, François Yvon, and Hinrich Schütze · 2020
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Improved protein structure prediction using potentials from deep learning
Andrew W Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Žídek, Alexander WR Nelson, Alex Bridgland, et al · 2020
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Insights into relevant knowledge extraction techniques: a comprehensive review
Abdul Shahid, Muhammad Tanvir Afzal, Moloud Abdar, Mohammad Ehsan Basiri, Xujuan Zhou, Neil Y Yen, and Jia-Wei Chang · 2020
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A deep learning approach to antibiotic discovery
Jonathan M Stokes, Kevin Yang, Kyle Swanson, Wengong Jin, Andres Cubillos-Ruiz, Nina M Donghia, Craig R MacNair, Shawn French, Lindsey A Carfrae, Zohar Bloom-Ackermann, et al · 2020
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Ten tips for overcoming language barriers in science
Tatsuya Amano, Clarissa Rios Rojas, Yap Boum II, Margarita Calvo, and Biswapriya B Misra · 2021
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Toward machine learning optimization of experimental design
Atılım Güneş Baydin, Kyle Cranmer, Pablo de Castro Manzano, Christophe Delaere, Denis Derkach, Julien Donini, Tommaso Dorigo, Andrea Giammanco, Jan Kieseler, Lukas Layer, et al · 2021
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Peerassist: leveraging on paper-review interactions to predict peer review decisions
Prabhat Kumar Bharti, Shashi Ranjan, Tirthankar Ghosal, Mayank Agrawal, and Asif Ekbal · 2021
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Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde De Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al · 2021
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Capturing relations between scientific papers: An abstractive model for related work section generation
Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Xiangliang Zhang, Dongyan Zhao, and Rui Yan · 2021
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Causal learning for socially responsible ai
Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, and Huan Liu · 2021
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Artificial intelligence in cancer research: learning at different levels of data granularity
Davide Cirillo, Iker Núñez-Carpintero, and Alfonso Valencia · 2021
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Wordcraft: A human-ai collaborative editor for story writing
Andy Coenen, Luke Davis, Daphne Ippolito, Emily Reif, and Ann Yuan · 2021
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Automatic related work section generation by sentence extraction and reordering
Zekun Deng, Zixin Zeng, Weiye Gu, Jiawen Ji, and Bolin Hua · 2021
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Ms2: Multi-document summarization of medical studies
Jay DeYoung, Iz Beltagy, Madeleine van Zuylen, Bailey Kuehl, and Lucy Lu Wang · 2021
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Splade v2: Sparse lexical and expansion model for information retrieval
Thibault Formal, Carlos Lassance, Benjamin Piwowarski, and Stéphane Clinchant · 2021
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Baco: A background knowledge-and content-based framework for citing sentence generation
Yubin Ge, Ly Dinh, Xiaofeng Liu, Jinsong Su, Ziyao Lu, Ante Wang, and Jana Diesner · 2021
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Automated lay language summarization of biomedical scientific reviews
Yue Guo, Wei Qiu, Yizhong Wang, and Trevor Cohen · 2021
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Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Rohan Gupta, Devesh Srivastava, Mehar Sahu, Swati Tiwari, Rashmi K Ambasta, and Pravir Kumar · 2021
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All-in-one: Multi-task learning bert models for evaluating peer assessments
Qinjin Jia, Jialin Cui, Yunkai Xiao, Chengyuan Liu, Parvez Rashid, and Edward Gehringer · 2021
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Highly accurate protein structure prediction with alphafold
John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Žídek, Anna Potapenko, et al · 2021
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Straight from the scientist’s mouth—plain language summaries promote laypeople’s comprehension and knowledge acquisition when reading about individual research findings in psychology
Martin Kerwer, Anita Chasiotis, Johannes Stricker, Armin Günther, and Tom Rosman · 2021
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Chronological citation recommendation with time preference
Shutian Ma, Heng Zhang, Chengzhi Zhang, and Xiaozhong Liu · 2021
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Machine-in-the-loop rewriting for creative image captioning
Vishakh Padmakumar and He He · 2021
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Compare: a taxonomy and dataset of comparison discussions in peer reviews
Shruti Singh, Mayank Singh, and Pawan Goyal · 2021
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Multivers: Improving scientific claim verification with weak supervision and full-document context
David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, and Hannaneh Hajishirzi · 2021
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Generating (factual?) narrative summaries of rcts: Experiments with neural multi-document summarization
Byron C Wallace, Sayantan Saha, Frank Soboczenski, and Iain J Marshall · 2021
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Citeworth: Cite-worthiness detection for improved scientific document understanding
Dustin Wright and Isabelle Augenstein · 2021
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A survey on federated learning
Chen Zhang, Yu Xie, Hang Bai, Bin Yu, Weihong Li, and Yuan Gao · 2021
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Minif2f: a cross-system benchmark for formal olympiad-level mathematics
Kunhao Zheng, Jesse Michael Han, and Stanislas Polu · 2021
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The quality assist: A technology-assisted peer review based on citation functions to predict the paper quality
Setio Basuki and Masatoshi Tsuchiya · 2022
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Colloquium: Machine learning in nuclear physics
Amber Boehnlein, Markus Diefenthaler, Nobuo Sato, Malachi Schram, Veronique Ziegler, Cristiano Fanelli, Morten Hjorth-Jensen, Tanja Horn, Michelle P Kuchera, Dean Lee, et al · 2022
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A non-factoid question-answering taxonomy
Valeriia Bolotova, Vladislav Blinov, Falk Scholer, W Bruce Croft, and Mark Sanderson · 2022
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Target-aware abstractive related work generation with contrastive learning
Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, and Xiangliang Zhang · 2022
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Read, revise, repeat: A system demonstration for human-in-the-loop iterative text revision
Wanyu Du, Zae Myung Kim, Vipul Raheja, Dhruv Kumar, and Dongyeop Kang · 2022
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Angela Fan and Claire Gardent · 2022
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Spaceqa: Answering questions about the design of space missions and space craft concepts
Andres Garcia-Silva, Cristian Berrio, Jose Manuel Gomez-Perez, Jose Antonio Martínez-Heras, Alessandro Donati, and Ilaria Roma · 2022
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Sparks: Inspiration for science writing using language models
Katy Ilonka Gero, Vivian Liu, and Lydia Chilton · 2022
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Peer review analyze: A novel benchmark resource for computational analysis of peer reviews
Tirthankar Ghosal, Sandeep Kumar, Prabhat Kumar Bharti, and Asif Ekbal · 2022
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Quaser: Question answering with scalable extractive rationalization
Asish Ghoshal, Srinivasan Iyer, Bhargavi Paranjape, Kushal Lakhotia, Scott Wen-tau Yih, and Yashar Mehdad · 2022
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Missing counter-evidence renders nlp fact-checking unrealistic for misinformation
Max Glockner, Yufang Hou, and Iryna Gurevych · 2022
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Controllable citation sentence generation with language models
Nianlong Gu and Richard HR Hahnloser · 2022
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Improving low-resource languages in pre-trained multilingual language models
Viktor Hangya, Hossain Shaikh Saadi, and Alexander Fraser · 2022
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Large language models can self-improve
Jiaxin Huang, Shixiang Shane Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, and Jiawei Han · 2022
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Draft, sketch, and prove: Guiding formal theorem provers with informal proofs
Albert Q Jiang, Sean Welleck, Jin Peng Zhou, Wenda Li, Jiacheng Liu, Mateja Jamnik, Timothée Lacroix, Yuhuai Wu, and Guillaume Lample · 2022
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Human and technological infrastructures of fact-checking
Prerna Juneja and Tanushree Mitra · 2022
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From who you know to what you read: Augmenting scientific recommendations with implicit social networks
Hyeonsu B Kang, Rafal Kocielnik, Andrew Head, Jiangjiang Yang, Matt Latzke, Aniket Kittur, Daniel S Weld, Doug Downey, and Jonathan Bragg · 2022
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Mario Krenn, Lorenzo Buffoni, Bruno Coutinho, Sagi Eppel, Jacob Gates Foster, Andrew Gritsevskiy, Harlin Lee, Yichao Lu, Joao P Moutinho, Nima Sanjabi, et al · 2022
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Scientific paper recommendation systems: a literature review of recent publications
Christin Katharina Kreutz and Ralf Schenkel · 2022
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Proofver: Natural logic theorem proving for fact verification
Amrith Krishna, Sebastian Riedel, and Andreas Vlachos · 2022
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Clam: Selective clarification for ambiguous questions with generative language models
Lorenz Kuhn, Yarin Gal, and Sebastian Farquhar · 2022
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Hypertree proof search for neural theorem proving
Guillaume Lample, Timothee Lacroix, Marie-Anne Lachaux, Aurelien Rodriguez, Amaury Hayat, Thibaut Lavril, Gabriel Ebner, and Xavier Martinet · 2022
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Coauthor: Designing a human-ai collaborative writing dataset for exploring language model capabilities
Mina Lee, Percy Liang, and Qian Yang · 2022
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ChartQA: A benchmark for question answering about charts with visual and logical reasoning
Ahmed Masry, Do Xuan Long, Jia Qing Tan, Shafiq Joty, and Enamul Hoque · 2022
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Exploiting labeled and unlabeled data via transformer fine-tuning for peer-review score prediction
Panitan Muangkammuen, Fumiyo Fukumoto, Jiyi Li, and Yoshimi Suzuki · 2022
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Codegen: An open large language model for code with multi-turn program synthesis
Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, and Caiming Xiong · 2022
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Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering
Ankit Pal, Logesh Kumar Umapathi, and Malaikannan Sankarasubbu · 2022
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Accelerating materials discovery using artificial intelligence, high performance computing and robotics
Edward O Pyzer-Knapp, Jed W Pitera, Peter WJ Staar, Seiji Takeda, Teodoro Laino, Daniel P Sanders, James Sexton, John R Smith, and Alessandro Curioni · 2022
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Text2chart: A multi-staged chart generator from natural language text
Md Mahinur Rashid, Hasin Kawsar Jahan, Annysha Huzzat, Riyasaat Ahmed Rahul, Tamim Bin Zakir, Farhana Meem, Md Saddam Hossain Mukta, and Swakkhar Shatabda · 2022
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Coquad: a covid-19 question answering dataset system, facilitating research, benchmarking, and practice
Shaina Raza, Brian Schwartz, and Laura C Rosella · 2022
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Scienceqa: A novel resource for question answering on scholarly articles
Tanik Saikh, Tirthankar Ghosal, Amish Mittal, Asif Ekbal, and Pushpak Bhattacharyya · 2022
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A survey on table-and-text hybridqa: Concepts, methods, challenges and future directions
Dingzirui Wang, Longxu Dou, and Wanxiang Che · 2022
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Kid-review: knowledge-guided scientific review generation with oracle pre-training
Weizhe Yuan and Pengfei Liu · 2022
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Can we automate scientific reviewing?
Weizhe Yuan, Pengfei Liu, and Graham Neubig · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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Efficient bayesian learning curve extrapolation using prior-data fitted networks
Steven Adriaensen, Herilalaina Rakotoarison, Samuel Müller, and Frank Hutter · 2023
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Enes Altuncu, Jason RC Nurse, Meryem Bagriacik, Sophie Kaleba, Haiyue Yuan, Lisa Bonheme, and Shujun Li · 2023
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gpt-researcher, May 2023
Assafelovic · 2023
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The sciqa scientific question answering benchmark for scholarly knowledge
Sören Auer, Dante AC Barone, Cassiano Bartz, Eduardo G Cortes, Mohamad Yaser Jaradeh, Oliver Karras, Manolis Koubarakis, Dmitry Mouromtsev, Dmitrii Pliukhin, Daniil Radyush, et al · 2023
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Google deepmind’s ai dreamed up 380,000 new materials. the next challenge is making them
Gregory Barber · 2023
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Eight years of automl: categorisation, review and trends
Rafael Barbudo, Sebastián Ventura, and José Raúl Romero · 2023
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Unsupervised pretraining for fact verification by language model distillation
Adrián Bazaga, Pietro Lio, and Gos Micklem · 2023
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Automatikz: Text-guided synthesis of scientific vector graphics with tikz
Jonas Belouadi, Anne Lauscher, and Steffen Eger · 2023
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Helm: Highlighted evidence augmented language model for enhanced table-to-text generation
Junyi Bian, Xiaolei Qin, Wuhe Zou, Mengzuo Huang, Congyi Luo, Ke Zhang, and Weidong Zhang · 2023
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Using cognitive psychology to understand gpt-3
Marcel Binz and Eric Schulz · 2023
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Autonomous chemical research with large language models
Daniil A Boiko, Robert MacKnight, Ben Kline, and Gabe Gomes · 2023
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Yi Cai and Gerhard Wunder · 2023
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Theoremqa: A theorem-driven question answering dataset
Wenhu Chen, Ming Yin, Max Ku, Pan Lu, Yixin Wan, Xueguang Ma, Jianyu Xu, Xinyi Wang, and Tony Xia · 2023
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Chartreader: A unified framework for chart derendering and comprehension without heuristic rules
Zhi-Qi Cheng, Qi Dai, and Alexander G Hauptmann · 2023
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The state of human-centered nlp technology for fact-checking
Anubrata Das, Houjiang Liu, Venelin Kovatchev, and Matthew Lease · 2023
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Can ai language models replace human participants?
Danica Dillion, Niket Tandon, Yuling Gu, and Kurt Gray · 2023
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Aide: Human-level performance on data science competitions, Apr 2023
Schmidt Dominik, Jiang Zhengyao, and Wu Yuxiang · 2023
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Toward the end-to-end optimization of particle physics instruments with differentiable programming
Tommaso Dorigo, Andrea Giammanco, Pietro Vischia, Max Aehle, Mateusz Bawaj, Alexey Boldyrev, Pablo de Castro Manzano, Denis Derkach, Julien Donini, Auralee Edelen, et al · 2023
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NLPeer: A unified resource for the computational study of peer review
Nils Dycke, Ilia Kuznetsov, and Iryna Gurevych · 2023
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Large language models for software engineering: Survey and open problems
Angela Fan, Beliz Gokkaya, Mark Harman, Mitya Lyubarskiy, Shubho Sengupta, Shin Yoo, and Jie M Zhang · 2023
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Fairness and bias in artificial intelligence: A brief survey of sources, impacts, and mitigation strategies
Emilio Ferrara · 2023
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Baldur: Whole-proof generation and repair with large language models
Emily First, Markus N Rabe, Talia Ringer, and Yuriy Brun · 2023
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Ideas are dimes a dozen: Large language models for idea generation in innovation
Karan Girotra, Lennart Meincke, Christian Terwiesch, and Karl T Ulrich · 2023
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Frontiers: Can large language models capture human preferences?
Ali Goli and Amandeep Singh · 2023
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A systematic review of federated learning: Challenges, aggregation methods, and development tools
Badra Souhila Guendouzi, Samir Ouchani, Hiba EL Assaad, and Madeleine EL Zaher · 2023
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Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in chatgpt
Thilo Hagendorff, Sarah Fabi, and Michal Kosinski · 2023
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Toolkengpt: Augmenting frozen language models with massive tools via tool embeddings
Shibo Hao, Tianyang Liu, Zhen Wang, and Zhiting Hu · 2023
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Tree-planner: Efficient close-loop task planning with large language models
Mengkang Hu, Yao Mu, Xinmiao Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, and Ping Luo · 2023
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Mlagentbench: Evaluating language agents on machine learning experimentation
Qian Huang, Jian Vora, Percy Liang, and Jure Leskovec · 2023
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Comlittee: Literature discovery with personal elected author committees
Hyeonsu B Kang, Nouran Soliman, Matt Latzke, Joseph Chee Chang, and Jonathan Bragg · 2023
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Scireviewgen: a large-scale dataset for automatic literature review generation
Tetsu Kasanishi, Masaru Isonuma, Junichiro Mori, and Ichiro Sakata · 2023
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Factkg: Fact verification via reasoning on knowledge graphs
Jiho Kim, Sungjin Park, Yeonsu Kwon, Yohan Jo, James Thorne, and Edward Choi · 2023
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Bioasq-qa: A manually curated corpus for biomedical question answering
Anastasia Krithara, Anastasios Nentidis, Konstantinos Bougiatiotis, and Georgios Paliouras · 2023
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When reviewers lock horn: Finding disagreement in scientific peer reviews
Sandeep Kumar, Tirthankar Ghosal, and Asif Ekbal · 2023
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Paperqa: Retrieval-augmented generative agent for scientific research
Jakub Lála, Odhran O’Donoghue, Aleksandar Shtedritski, Sam Cox, Samuel G Rodriques, and Andrew D White · 2023
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Summarizing multiple documents with conversational structure for meta-review generation
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Automated scholarly paper review: Concepts, technologies, and challenges
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Reviewergpt? an exploratory study on using large language models for paper reviewing
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Artificial intelligence and ethics: a comprehensive review of bias mitigation, transparency, and accountability in ai systems
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Scaling deep learning for materials discovery
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Snapp: Springer nature’s next-generation peer review system
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Unveiling the sentinels: Assessing ai performance in cybersecurity peer review
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Application of large language models to software engineering tasks: Opportunities, risks, and implications
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Does writing with language models reduce content diversity?
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Fact-checking complex claims with program-guided reasoning
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Experiential co-learning of software-developing agents
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Gpt4 is slightly helpful for peer-review assistance: A pilot study
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Bio-sieve: exploring instruction tuning large language models for systematic review automation
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Figgen: Text to scientific figure generation
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Code llama: Open foundation models for code
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Toolformer: Language models can teach themselves to use tools
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Towards a unified framework for reference retrieval and related work generation
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Reflexion: Language agents with verbal reinforcement learning
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Figcaps-hf: A figure-to-caption generative framework and benchmark with human feedback
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Large language models encode clinical knowledge
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Enhancing academic writing skills and motivation: assessing the efficacy of chatgpt in ai-assisted language learning for efl students
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Csed: A chinese semantic error diagnosis corpus
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An autonomous laboratory for the accelerated synthesis of novel materials
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Gemini: a family of highly capable multimodal models
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Automl in the age of large language models: Current challenges, future opportunities and risks
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Lego-prover: Neural theorem proving with growing libraries
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Characterizing and verifying scientific claims: Qualitative causal structure is all you need
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Towards reasoning in large language models via multi-agent peer review collaboration
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Large language models for automated open-domain scientific hypotheses discovery
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Heterogeneous federated learning: State-of-the-art and research challenges
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Meta-review generation with checklist-guided iterative introspection
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Exploring collaboration mechanisms for llm agents: A social psychology view
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Clarify when necessary: Resolving ambiguity through interaction with lms
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Towards llm-based fact verification on news claims with a hierarchical step-by-step prompting method
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A survey of large language models
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Hit-scir at mmnlu-22: Consistency regularization for multilingual spoken language understanding
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Hierarchical catalogue generation for literature review: a benchmark
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Through the lens of core competency: Survey on evaluation of large language models
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Accurate structure prediction of biomolecular interactions with alphafold 3
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Litllm: A toolkit for scientific literature review
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Artificial intelligence and scientific discovery: A model of prioritized search
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Ml-gap: machine learning-enhanced genomic analysis pipeline using autoencoders and data augmentation
Melih Agraz, Dincer Goksuluk, Peng Zhang, Bum-Rak Choi, Richard T Clements, Gaurav Choudhary, and George Em Karniadakis · 2024
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Zero-shot scientific claim verification using llms and citation text
Carlos Alvarez, Maxwell Bennett, and Lucy Lu Wang · 2024
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Homogenization effects of large language models on human creative ideation
Barrett R Anderson, Jash Hemant Shah, and Max Kreminski · 2024
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Closed-loop transfer enables artificial intelligence to yield chemical knowledge
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Transforming science labs into automated factories of discovery
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The claude 3 model family: Opus, sonnet, haiku
AI Anthropic · 2024
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Meta-designing quantum experiments with language models
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Openscholar: Synthesizing scientific literature with retrieval-augmented lms
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Joshua Ashkinaze, Julia Mendelsohn, Li Qiwei, Ceren Budak, and Eric Gilbert · 2024
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Generating fact checking explanations
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Self-driving labs are the new ai asset
Axios · 2024
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Shingo Ayabe, Takuto Otomo, Hiroshi Kera, and Kazuhiko Kawamoto · 2024
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Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, and Sung Ju Hwang · 2024
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Zhijie Bao, Qingyun Liu, Ying Guo, Zhengqiang Ye, Jun Shen, Shirong Xie, Jiajie Peng, Xuanjing Huang, and Zhongyu Wei · 2024
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Automated machine learning: past, present and future
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Development of an automated workflow for screening the assembly and host–guest behavior of metal-organic cages towards accelerated discovery
Annabel R Basford, Aaron H Bernardino, Paula CP Teeuwen, Benjamin D Egleston, Joshua Humphreys, Kim E Jelfs, Jonathan R Nitschke, Imogen A Riddell, and Rebecca L Greenaway · 2024
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Mechanistic interpretability for ai safety–a review
Leonard Bereska and Efstratios Gavves · 2024
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Politepeer: does peer review hurt? a dataset to gauge politeness intensity in the peer reviews
Prabhat Kumar Bharti, Meith Navlakha, Mayank Agarwal, and Asif Ekbal · 2024
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General-purpose pre-trained large cellular models for single-cell transcriptomics
Haiyang Bian, Yixin Chen, Erpai Luo, Xinze Wu, Minsheng Hao, Lei Wei, and Xuegong Zhang · 2024
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Designing collaborative intelligence systems for employee-ai service co-production
Marah Blaurock, Marion Büttgen, and Jeroen Schepers · 2024
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Improving generalization of robot locomotion policies via sharpness-aware reinforcement learning
Severin Bochem, Eduardo Gonzalez-Sanchez, Yves Bicker, and Gabriele Fadini · 2024
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Artificial intelligence for literature reviews: Opportunities and challenges
Francisco Bolanos, Angelo Salatino, Francesco Osborne, and Enrico Motta · 2024
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Biomedlm: A 2.7 b parameter language model trained on biomedical text
Elliot Bolton, Abhinav Venigalla, Michihiro Yasunaga, David Hall, Betty Xiong, Tony Lee, Roxana Daneshjou, Jonathan Frankle, Percy Liang, Michael Carbin, et al · 2024
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Kgvalidator: A framework for automatic validation of knowledge graph construction
Jack Boylan, Shashank Mangla, Dominic Thorn, Demian Gholipour Ghalandari, Parsa Ghaffari, and Chris Hokamp · 2024
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Defame: Dynamic evidence-based fact-checking with multimodal experts
Tobias Braun, Mark Rothermel, Marcus Rohrbach, and Anna Rohrbach · 2024
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Ai driven experiment calibration and control
Thomas Britton, Cullan Bedwell, Abhijeet Chawhan, Julie Crowe, Naomi Jarvis, Torri Jeske, Nikhil Kalra, David Lawrence, and Diana McSpadden · 2024
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Closed-loop visuomotor control with generative expectation for robotic manipulation
Qingwen Bu, Jia Zeng, Li Chen, Yanchao Yang, Guyue Zhou, Junchi Yan, Ping Luo, Heming Cui, Yi Ma, and Hongyang Li · 2024
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Accelerating scientific discovery with generative knowledge extraction, graph-based representation, and multimodal intelligent graph reasoning
Markus J Buehler · 2024
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How to build the virtual cell with artificial intelligence: Priorities and opportunities
Charlotte Bunne, Yusuf Roohani, Yanay Rosen, Ankit Gupta, Xikun Zhang, Marcel Roed, Theo Alexandrov, Mohammed AlQuraishi, Patricia Brennan, Daniel B Burkhardt, et al · 2024
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Agents for self-driving laboratories applied to quantum computing
Shuxiang Cao, Zijian Zhang, Mohammed Alghadeer, Simone D Fasciati, Michele Piscitelli, Mustafa Bakr, Peter Leek, and Alán Aspuru-Guzik · 2024
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Figuring out figures: Using textual references to caption scientific figures
Stanley Cao and Kevin Liu · 2024
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Citebart: Learning to generate citations for local citation recommendation
Ege Yiğit Çelik and Selma Tekir · 2024
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Art or artifice? large language models and the false promise of creativity
Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal, Smaranda Muresan, and Chien-Sheng Wu · 2024
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Automated focused feedback generation for scientific writing assistance
Eric Chamoun, Michael Schlichtkrull, and Andreas Vlachos · 2024
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Mle-bench: Evaluating machine learning agents on machine learning engineering
Jun Shern Chan, Neil Chowdhury, Oliver Jaffe, James Aung, Dane Sherburn, Evan Mays, Giulio Starace, Kevin Liu, Leon Maksin, Tejal Patwardhan, et al · 2024
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Mohit Chandra, Suchismita Naik, Denae Ford, Ebele Okoli, Munmun De Choudhury, Mahsa Ershadi, Gonzalo Ramos, Javier Hernandez, Ananya Bhattacharjee, Shahed Warreth, et al · 2024
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Llm based exploratory data analysis using bigquery data canvas, Oct 2024
Rajdip Chaudhuri · 2024
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Unlocking the capabilities of thought: A reasoning boundary framework to quantify and optimize chain-of-thought
Qiguang Chen, Libo Qin, Jiaqi Wang, Jingxuan Zhou, and Wanxiang Che · 2024
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M 3 CoT: A novel benchmark for multi-domain multi-step multi-modal chain-of-thought
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Genept: a simple but effective foundation model for genes and cells built from chatgpt
Yiqun Chen and James Zou · 2024
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Accelerating materials language processing with large language models
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Automatic large language model evaluation via peer review
Zhumin Chu, Qingyao Ai, Yiteng Tu, Haitao Li, and Yiqun Liu · 2024
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Crosslingual capabilities and knowledge barriers in multilingual large language models
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Ai-experiments in education: An ai-driven randomized controlled trial for higher education research
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How well do large language models understand tables in materials science?
Defne Circi, Ghazal Khalighinejad, Anlan Chen, Bhuwan Dhingra, and L Catherine Brinson · 2024
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Relevai-reviewer: A benchmark on ai reviewers for survey paper relevance
Paulo Henrique Couto, Quang Phuoc Ho, Nageeta Kumari, Benedictus Kent Rachmat, Thanh Gia Hieu Khuong, Ihsan Ullah, and Lisheng Sun-Hosoya · 2024
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scgpt: toward building a foundation model for single-cell multi-omics using generative ai
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Autonomous mobile robots for exploratory synthetic chemistry
Tianwei Dai, Sriram Vijayakrishnan, Filip T Szczypiński, Jean-François Ayme, Ehsan Simaei, Thomas Fellowes, Rob Clowes, Lyubomir Kotopanov, Caitlin E Shields, Zhengxue Zhou, et al · 2024
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Preetam Prabhu Srikar Dammu, Himanshu Naidu, Mouly Dewan, YoungMin Kim, Tanya Roosta, Aman Chadha, and Chirag Shah · 2024
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Steven Au, Cameron J Dimacali, Ojasmitha Pedirappagari, Namyong Park, Franck Dernoncourt, Yu Wang, Nikos Kanakaris, Hanieh Deilamsalehy, Ryan A Rossi, and Nesreen K Ahmed · 2025
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Futuregen: Llm-rag approach to generate the future work of scientific article
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Language models surface the unwritten code of science and society
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High-throughput robotic collection, imaging, and machine learning analysis of salt patterns: composition and concentration from dried droplet photos
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Peerqa: A scientific question answering dataset from peer reviews
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Agentichypothesis: A survey on hypothesis generation using llm systems
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Tikzero: Zero-shot text-guided graphics program synthesis
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Generative artificial intelligence in anatomic pathology
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Microvqa: A multimodal reasoning benchmark for microscopy-based scientific research
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Modest: A dataset for multi domain scientific title generation
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And plato met chatgpt: an ethical reflection on the use of chatbots in scientific research writing, with a particular focus on the social sciences
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Science acceleration and accessibility with self-driving labs
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Tablemaster: A recipe to advance table understanding with language models
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Mlr-bench: Evaluating ai agents on open-ended machine learning research
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Transformers and genome language models
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Hallucination mitigation using agentic ai natural language-based frameworks
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Enhance innovation by boosting idea generation with large language models
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Kaiyu He and Zhiyu Chen · 2025
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Automatic evaluation metrics for artificially generated scientific research
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Carl technical report, Mar 2025
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Large language models pass the turing test
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Explainable automated debugging via large language model-driven scientific debugging
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A comprehensive survey of foundation models in medicine
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Seonok Kim · 2025
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Generative machine learning in adaptive control of dynamic manufacturing processes: A review
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Intelligent, personalized scientific assistant via large language models for solid-state battery research
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Explainable biomedical claim verification with large language models
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Divergent llm adoption and heterogeneous convergence paths in research writing
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Cognitio emergens: Agency, dimensions, and dynamics in human-ai knowledge co-creation
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Bang Liu, Xinfeng Li, Jiayi Zhang, Jinlin Wang, Tanjin He, Sirui Hong, Hongzhang Liu, Shaokun Zhang, Kaitao Song, Kunlun Zhu, et al · 2025
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Variable extraction for model recovery in scientific literature
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Agent-enhanced large language models for researching political institutions
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Benchmarking ai scientists in omics data-driven biological research
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Automated retrosynthesis planning of macromolecules using large language models and knowledge graphs
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A framework for reviewing the results of automated conversion of structured organic synthesis procedures from the literature
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How well do large language models extract keywords? a systematic evaluation on scientific corpora
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ChartGemma: Visual instruction-tuning for chart reasoning in the wild
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Vision: A modular ai assistant for natural human-instrument interaction at scientific user facilities
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Artificial intelligence and dichotomania
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When physics meets machine learning: A survey of physics-informed machine learning
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Towards effective extraction and evaluation of factual claims
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Cross-disciplinary perspectives on the potential for artificial intelligence across chemistry
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Prototypical human-ai collaboration behaviors from llm-assisted writing in the wild
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Mlgym: A new framework and benchmark for advancing ai research agents
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Large language models for zero-shot inference of causal structures in biology
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Sciclaims: An end-to-end generative system for biomedical claim analysis
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Advancing drug discovery and development through gpt models: a review on challenges, innovations and future prospects
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The hidden dimensions of llm alignment: A multi-dimensional safety analysis
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Paper2poster: Towards multimodal poster automation from scientific papers
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Jong Inn Park, Maanas Taneja, Qianwen Wang, and Dongyeop Kang · 2025
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Automated research review support using machine learning, large language models, and natural language processing
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Dengyun Peng, Yuhang Zhou, Qiguang Chen, Jinhao Liu, Jingjing Chen, and Libo Qin · 2025
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A smack of all neighbouring languages: How multilingual is scholarly communication?
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Estimating optimal context length for hybrid retrieval-augmented multi-document summarization
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Lazyreview a dataset for uncovering lazy thinking in nlp peer reviews
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A survey of multilingual large language models
Libo Qin, Qiguang Chen, Yuhang Zhou, Zhi Chen, Yinghui Li, Lizi Liao, Min Li, Wanxiang Che, and Philip S Yu · 2025
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Ai idea bench 2025: Ai research idea generation benchmark
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On the rise of new mathematical spaces and towards ai-driven scientific discovery
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Adaptive representation of molecules and materials in bayesian optimization
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The plagiarism singularity conjecture
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Nsf-scify: Mining the nsf awards database for scientific claims
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Towards scientific discovery with generative ai: Progress, opportunities, and challenges
Chandan K Reddy and Parshin Shojaee · 2025
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Can pre-trained language models generate titles for research papers?
Tohida Rehman, Debarshi Kumar Sanyal, and Samiran Chattopadhyay · 2025
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Towards scientific intelligence: A survey of llm-based scientific agents
Shuo Ren, Pu Jian, Zhenjiang Ren, Chunlin Leng, Can Xie, and Jiajun Zhang · 2025
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Bigdocs: An open dataset for training multimodal models on document and code tasks
Juan A Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte Suresh, François Savard, Ahmed Masry, Shravan Nayak, et al · 2025
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Automation bias in ai-assisted medical decision-making under time pressure in computational pathology
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Large language models as mental health resources: Patterns of use in the united states, Mar 2025
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Ai-driven discovery: The transformative impact of machine learning on research and development
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The rise of the research automaton: Science as process or product in the era of generative ai?
Henrik Skaug Sætra · 2025
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Spark: A system for scientifically creative idea generation
Aishik Sanyal, Samuel Schapiro, Sumuk Shashidhar, Royce Moon, Lav R Varshney, and Dilek Hakkani-Tur · 2025
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Medsyn: Enhancing diagnostics with human-ai collaboration
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Agentrxiv: Towards collaborative autonomous research
Samuel Schmidgall and Michael Moor · 2025
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Agent laboratory: Using llm agents as research assistants
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FlavorDiffusion: Modeling food-chemical interactions with diffusion
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Agents for change: Artificial intelligent workflows for quantitative clinical pharmacology and translational sciences
Mohamed H Shahin, Srijib Goswami, Sebastian Lobentanzer, and Brian W Corrigan · 2025
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Iterative self-incentivization empowers large language models as agentic searchers
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Value iteration for learning concurrently executable robotic control tasks
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