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In recent years, the rapid advancement of Large Language Models (LLMs) has transformed the landscape of scientific research, offering unprecedented support across various stages of the research cycle.
BACON: A Production System That Discovers Empirical Laws. In Proceedings of the 5th International Joint Conference on Artificial Intelligence. Cambridge, MA, USA, August 22-25, 1977 , Raj Reddy (Ed.). William Kaufmann, 344
Pat Langley. 1977 · 1977
Earlier work this paper cites.
Automated Theory Formation in Mathematics. In Proceedings of the 5th International Joint Conference on Artificial Intelligence. Cambridge, MA, USA, August 22-25, 1977 , Raj Reddy (Ed.). William Kaufmann, 833–842
Douglas B. Lenat. 1977 · 1977
Earlier work this paper cites.
Why AM and EURISKO Appear to Work
Douglas B. Lenat and John Seely Brown. 1984 · 1984
Earlier work this paper cites.
Undiscovered public knowledge
Don R Swanson. 1986 · 1986
Earlier work this paper cites.
PaperRobot: Incremental Draft Generation of Scientific Ideas. In Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28- August 2, 2019, Volume 1: Long Papers , Anna Korhonen, David R. Traum, and Lluís Màrquez (Eds.). Association for Computational Linguistics, 1980–1991
Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, and Yi Luan. 2019 · 1991
Earlier work this paper cites.
Bleu: a Method for Automatic Evaluation of Machine Translation. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, July 6-12, 2002, Philadelphia, PA, USA . ACL, 311–318
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
A little survey of induction
John D Norton. 2003 · 2003
Earlier work this paper cites.
ROUGE: A Package for Automatic Evaluation of Summaries. In Text Summarization Branches Out . Association for Computational Linguistics, Barcelona, Spain, 74–81
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments. In Proceedings of the Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization@ACL 2005, Ann Arbor, Michigan, USA, June 29, 2005 , Jade Goldstein, Alon Lavie, Chin-Yew Lin, and Clare R. Voss (Eds.). Association for Computational Linguistics, 65–72
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
Earlier work this paper cites.
What is this thing called science?
Alan Chalmers. 2013 · 2013
Earlier work this paper cites.
The ACL anthology network corpus
Dragomir R. Radev, Pradeep Muthukrishnan, Vahed Qazvinian, and Amjad Abu-Jbara. 2013 · 2013
Earlier work this paper cites.
Automatic Generation of Related Work Sections in Scientific Papers: An Optimization Approach. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014, October 25-29, 2014, Doha, Qatar, A meeting of SIGDAT, a Special Interest Group of the ACL , Alessandro Moschitti, Bo Pang, and Walter Daelemans (Eds.). ACL, 1624–1633
Yue Hu and Xiaojun Wan. 2014 · 2014
Earlier work this paper cites.
Delve: A Dataset-Driven Scholarly Search and Analysis System
Uchenna Akujuobi and Xiangliang Zhang. 2017 · 2017
Earlier work this paper cites.
Science of science
Santo Fortunato, Carl T Bergstrom, Katy Börner, James A Evans, Dirk Helbing, Staša Milojević, Alexander M Petersen, Filippo Radicchi, Roberta Sinatra, Brian Uzzi, et al · 2018
Earlier work this paper cites.
A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2018, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 1 (Long Papers) , Marilyn A. Walker, Heng Ji, and Amanda Stent (Eds.). Association for Computational Linguistics, 1647–1661
Dongyeop Kang, Waleed Ammar, Bhavana Dalvi, Madeleine van Zuylen, Sebastian Kohlmeier, Eduard H. Hovy, and Roy Schwartz. 2018 · 2018
Earlier work this paper cites.
Structural Scaffolds for Citation Intent Classification in Scientific Publications. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers) , Jill Burstein, Christy Doran, and Thamar Solorio (Eds.). Association for Computational Linguistics, 3586–3596
Arman Cohan, Waleed Ammar, Madeleine van Zuylen, and Field Cady. 2019 · 2019
Earlier work this paper cites.
ELI5: Long Form Question Answering. In Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28- August 2, 2019, Volume 1: Long Papers , Anna Korhonen, David R. Traum, and Lluís Màrquez (Eds.). Association for Computational Linguistics, 3558–3567
Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, and Michael Auli. 2019 · 2019
Earlier work this paper cites.
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019 , Kentaro Inui, Jing Jiang, Vincent Ng, and Xiaojun Wan (Eds.). Association for Computational Linguistics, 3980–3990
Nils Reimers and Iryna Gurevych. 2019 · 2019
Earlier work this paper cites.
Unsupervised word embeddings capture latent knowledge from materials science literature
Vahe Tshitoyan, John Dagdelen, Leigh Weston, Alexander Dunn, Ziqin Rong, Olga Kononova, Kristin A. Persson, Gerbrand Ceder, and Anubhav Jain. 2019 · 2019
Earlier work this paper cites.
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. In The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019 . AAAI Press, 7386–7393
Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, and Dragomir R. Radev. 2019 · 2019
Earlier work this paper cites.
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019 , Kentaro Inui, Jing Jiang, Vincent Ng, and Xiaojun Wan (Eds.). Association for Computational Linguistics, 563–578
Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, and Steffen Eger. 2019 · 2019
Earlier work this paper cites.
Automatic related work section generation: experiments in scientific document abstracting
Ahmed AbuRa’ed, Horacio Saggion, Alexander V. Shvets, and Àlex Bravo. 2020 · 2020
Earlier work this paper cites.
MetaGen: An academic Meta-review Generation system
Chaitanya Bhatia, Tribikram Pradhan, and Sukomal Pal. 2020 · 2020
Earlier work this paper cites.
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual , Hugo Larochelle, Marc’Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, and Hsuan-Tien Lin (Eds.)
Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela. 2020 · 2020
Earlier work this paper cites.
S2ORC: The Semantic Scholar Open Research Corpus. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020 , Dan Jurafsky, Joyce Chai, Natalie Schluter, and Joel R. Tetreault (Eds.). Association for Computational Linguistics, 4969–4983
Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, and Daniel S. Weld. 2020 · 2020
Earlier work this paper cites.
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020 , Bonnie Webber, Trevor Cohn, Yulan He, and Yang Liu (Eds.). Association for Computational Linguistics, 8068–8074
Yao Lu, Yue Dong, and Laurent Charlin. 2020 · 2020
Earlier work this paper cites.
BLEURT: Learning Robust Metrics for Text Generation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020 , Dan Jurafsky, Joyce Chai, Natalie Schluter, and Joel R. Tetreault (Eds.). Association for Computational Linguistics, 7881–7892
Thibault Sellam, Dipanjan Das, and Ankur P. Parikh. 2020 · 2020
Earlier work this paper cites.
AGATHA: Automatic Graph Mining And Transformer based Hypothesis Generation Approach. In CIKM ’20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020 , Mathieu d’Aquin, Stefan Dietze, Claudia Hauff, Edward Curry, and Philippe Cudré-Mauroux (Eds.). ACM, 2757–2764
Justin Sybrandt, Ilya Tyagin, Michael Shtutman, and Ilya Safro. 2020 · 2020
Earlier work this paper cites.
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis. In Proceedings of the 13th International Conference on Natural Language Generation, INLG 2020, Dublin, Ireland, December 15-18, 2020 , Brian Davis, Yvette Graham, John D. Kelleher, and Yaji Sripada (Eds.). Association for Computational Linguistics, 384–397
Qingyun Wang, Qi Zeng, Lifu Huang, Kevin Knight, Heng Ji, and Nazneen Fatema Rajani. 2020 · 2020
Earlier work this paper cites.
Automatic Generation of Citation Texts in Scholarly Papers: A Pilot Study. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020 , Dan Jurafsky, Joyce Chai, Natalie Schluter, and Joel R. Tetreault (Eds.). Association for Computational Linguistics, 6181–6190
Xinyu Xing, Xiaosheng Fan, and Xiaojun Wan. 2020 · 2020
Earlier work this paper cites.
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
Earlier work this paper cites.
SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation. In Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021 , Marie-Francine Moens, Xuanjing Huang, Lucia Specia, and Scott Wen-tau Yih (Eds.). Association for Computational Linguistics, 1483–1492
Hong Chen, Hiroya Takamura, and Hideki Nakayama. 2021b · 2021
Earlier work this paper cites.
Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021 , Chengqing Zong, Fei Xia, Wenjie Li, and Roberto Navigli (Eds.). Association for Computational Linguistics, 6068–6077
Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Xiangliang Zhang, Dongyan Zhao, and Rui Yan. 2021a · 2021
Earlier work this paper cites.
BACO: A Background Knowledge- and Content-Based Framework for Citing Sentence Generation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021 , Chengqing Zong, Fei Xia, Wenjie Li, and Roberto Navigli (Eds.). Association for Computational Linguistics, 1466–1478
Yubin Ge, Ly Dinh, Xiaofeng Liu, Jinsong Su, Ziyao Lu, Ante Wang, and Jana Diesner. 2021 · 2021
Earlier work this paper cites.
SciCap: Generating Captions for Scientific Figures
Ting-Yao Hsu, C. Lee Giles, and Ting-Hao Kenneth Huang. 2021 · 2021
Earlier work this paper cites.
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
Earlier work this paper cites.
A Deep Neural Architecture for Decision-Aware Meta-Review Generation
Asheesh Kumar, Tirthankar Ghosal, and Asif Ekbal. 2021 · 2021
Earlier work this paper cites.
SciGen: a Dataset for Reasoning-Aware Text Generation from Scientific Tables. In Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual , Joaquin Vanschoren and Sai-Kit Yeung (Eds.)
Nafise Sadat Moosavi, Andreas Rücklé, Dan Roth, and Iryna Gurevych. 2021 · 2021
Earlier work this paper cites.
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers. In Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual , Marc’Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, and Jennifer Wortman Vaughan (Eds.). 4816–4828
Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Welleck, Yejin Choi, and Zaïd Harchaoui. 2021 · 2021
Earlier work this paper cites.
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, and Rob Fergus. 2021 · 2021
Earlier work this paper cites.
AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation. In WSDM ’21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021 , Liane Lewin-Eytan, David Carmel, Elad Yom-Tov, Eugene Agichtein, and Evgeniy Gabrilovich (Eds.). ACM, 788–796
Qingqin Wang, Yun Xiong, Yao Zhang, Jiawei Zhang, and Yangyong Zhu. 2021 · 2021
Earlier work this paper cites.
Samuel Joseph Amouyal, Ohad Rubin, Ori Yoran, Tomer Wolfson, Jonathan Herzig, and Jonathan Berant. 2022 · 2022
Earlier work this paper cites.
Generating Scientific Definitions with Controllable Complexity. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022 , Smaranda Muresan, Preslav Nakov, and Aline Villavicencio (Eds.). Association for Computational Linguistics, 8298–8317
Tal August, Katharina Reinecke, and Noah A. Smith. 2022 · 2022
Earlier work this paper cites.
Inductive Logic Programming At 30: A New Introduction
Andrew Cropper and Sebastijan Dumancic. 2022 · 2022
Earlier work this paper cites.
Controllable protein design with language models
Noelia Ferruz and Birte Höcker. 2022 · 2022
Earlier work this paper cites.
Intent-Controllable Citation Text Generation
Shing-Yun Jung, Ting-Han Lin, Chia-Hung Liao, Shyan-Ming Yuan, and Chuen-Tsai Sun. 2022 · 2022
Earlier work this paper cites.
CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22) . Association for Computing Machinery, New York, NY, USA, Article 388, 19 pages
Mina Lee, Percy Liang, and Qian Yang. 2022 · 2022
Earlier work this paper cites.
CORWA: A Citation-Oriented Related Work Annotation Dataset. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022 , Marine Carpuat, Marie-Catherine de Marneffe, and Iván Vladimir Meza Ruíz (Eds.). Association for Computational Linguistics, 5426–5440
Xiangci Li, Biswadip Mandal, and Jessica Ouyang. 2022 · 2022
Earlier work this paper cites.
Automatic Related Work Generation: A Meta Study
Xiangci Li and Jessica Ouyang. 2022 · 2022
Earlier work this paper cites.
MReD: A Meta-Review Dataset for Structure-Controllable Text Generation. In Findings of the Association for Computational Linguistics: ACL 2022, Dublin, Ireland, May 22-27, 2022 , Smaranda Muresan, Preslav Nakov, and Aline Villavicencio (Eds.). Association for Computational Linguistics, 2521–2535
Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, and Luo Si. 2022 · 2022
Earlier work this paper cites.
ASQA: Factoid Questions Meet Long-Form Answers. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022 , Yoav Goldberg, Zornitsa Kozareva, and Yue Zhang (Eds.). Association for Computational Linguistics, 8273–8288
Ivan Stelmakh, Yi Luan, Bhuwan Dhingra, and Ming-Wei Chang. 2022 · 2022
Earlier work this paper cites.
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. In Advances in Neural Information Processing Systems
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed H Chi, Quoc V Le, Denny Zhou, et al · 2022
Earlier work this paper cites.
Language Models as Inductive Reasoners
Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, and Furu Wei. 2022 · 2022
Earlier work this paper cites.
Can We Automate Scientific Reviewing?
Weizhe Yuan, Pengfei Liu, and Graham Neubig. 2022 · 2022
Earlier work this paper cites.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
Earlier work this paper cites.
Artificial intelligence in scientific writing: a friend or a foe?
S. Altmäe, A. Sola-Leyva, and A. Salumets. 2023 · 2023
Earlier work this paper cites.
ChatGPT and the Future of Journal Reviews: A Feasibility Study
S. Biswas, D. Dobaria, and H. L. Cohen. 2023 · 2023
Earlier work this paper cites.
Autonomous chemical research with large language models
Daniil A Boiko, Robert MacKnight, Ben Kline, and Gabe Gomes. 2023 · 2023
Earlier work this paper cites.
LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis
Shih-Chieh Dai, Aiping Xiong, and Lun-Wei Ku. 2023 · 2023
Earlier work this paper cites.
CocoSciSum: A Scientific Summarization Toolkit with Compositional Controllability. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023 - System Demonstrations, Singapore, December 6-10, 2023 , Yansong Feng and Els Lefever (Eds.). Association for Computational Linguistics, 518–526
Yixi Ding, Yanxia Qin, Qian Liu, and Min-Yen Kan. 2023 · 2023
Earlier work this paper cites.
Large Language Model for Science: A Study on P vs. NP
Qingxiu Dong, Li Dong, Ke Xu, Guangyan Zhou, Yaru Hao, Zhifang Sui, and Furu Wei. 2023 · 2023
Earlier work this paper cites.
NLPeer: A Unified Resource for the Computational Study of Peer Review. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023 , Anna Rogers, Jordan L. Boyd-Graber, and Naoaki Okazaki (Eds.). Association for Computational Linguistics, 5049–5073
Nils Dycke, Ilia Kuznetsov, and Iryna Gurevych. 2023 · 2023
Earlier work this paper cites.
CiteBench: A Benchmark for Scientific Citation Text Generation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023 , Houda Bouamor, Juan Pino, and Kalika Bali (Eds.). Association for Computational Linguistics, 7337–7353
Martin Funkquist, Ilia Kuznetsov, Yufang Hou, and Iryna Gurevych. 2023 · 2023
Earlier work this paper cites.
Enabling Large Language Models to Generate Text with Citations. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023 , Houda Bouamor, Juan Pino, and Kalika Bali (Eds.). Association for Computational Linguistics, 6465–6488
Tianyu Gao, Howard Yen, Jiatong Yu, and Danqi Chen. 2023 · 2023
Cited alongside, same era.
Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments
Alexander Goldberg, Ivan Stelmakh, Kyunghyun Cho, Alice H. Oh, Alekh Agarwal, Danielle Belgrave, and Nihar B. Shah. 2023 · 2023
Cited alongside, same era.
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering
Noah Hollmann, Samuel Müller, and Frank Hutter. 2023 · 2023
Cited alongside, same era.
A Computational Inflection for Scientific Discovery
Tom Hope, Doug Downey, Daniel S. Weld, Oren Etzioni, and Eric Horvitz. 2023 · 2023
Cited alongside, same era.
Can Large Language Models Unlock Novel Scientific Research Ideas?
Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal, and Asif Ekbal. 2024 · 2024
Later among the works it cites.
What Can Natural Language Processing Do for Peer Review?
Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, and Iryna Gurevych. 2024 · 2024
Later among the works it cites.
LAB-Bench: Measuring Capabilities of Language Models for Biology Research
Jon M. Laurent, Joseph D. Janizek, Michael Ruzo, Michaela M. Hinks, Michael J. Hammerling, Siddharth Narayanan, Manvitha Ponnapati, Andrew D. White, and Samuel G. Rodriques. 2024 · 2024
Later among the works it cites.
Chain of Ideas: Revolutionizing Research in Novel Idea Development with LLM Agents
Long Li, Weiwen Xu, Jiayan Guo, Ruochen Zhao, Xinxuan Li, Yuqian Yuan, Boqiang Zhang, Yuming Jiang, Yifei Xin, Ronghao Dang, et al · 2024
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Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, and Ting Liu. 2023 · 2023
Cited alongside, same era.
Survey of Hallucination in Natural Language Generation
Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Yejin Bang, Andrea Madotto, and Pascale Fung. 2023 · 2023
Cited alongside, same era.
Artificial intelligence to support publishing and peer review: A summary and review
Kayvan Kousha and Mike A Thelwall. 2023 · 2023
Cited alongside, same era.
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation
Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Wen-Tau Yih, Daniel Fried, Sida I. Wang, and Tao Yu. 2023 · 2023
Cited alongside, same era.
Summarizing Multiple Documents with Conversational Structure for Meta-Review Generation. In Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023 , Houda Bouamor, Juan Pino, and Kalika Bali (Eds.). Association for Computational Linguistics, 7089–7112
Miao Li, Eduard H. Hovy, and Jey Han Lau. 2023a · 2023
Cited alongside, same era.
Siyu Li, Jin Yang, and Kui Zhao. 2023b · 2023
Cited alongside, same era.
MOPRD: A multidisciplinary open peer review dataset
Jialiang Lin, Jiaxin Song, Zhangping Zhou, Yidong Chen, and Xiaodong Shi. 2023b · 2023
Cited alongside, same era.
Evolutionary-scale prediction of atomic-level protein structure with a language model
Zeming Lin, Halil Akin, Roshan Rao, Brian Hie, Zhongkai Zhu, Wenting Lu, Nikita Smetanin, Robert Verkuil, Ori Kabeli, Yaniv Shmueli, Allan dos Santos Costa, Maryam Fazel-Zarandi, Tom Sercu, Salvatore Candido, and Alexander Rives. 2023a · 2023
Cited alongside, same era.
Later among the works it cites.
Automated Statistical Model Discovery with Language Models
Michael Y. Li, Emily B. Fox, and Noah D. Goodman. 2024b · 2024
Later among the works it cites.
Learning to Generate Research Idea with Dynamic Control
Ruochen Li, Liqiang Jing, Chi Han, Jiawei Zhou, and Xinya Du. 2024c · 2024
Later among the works it cites.
PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations
Ruosen Li, Teerth Patel, and Xinya Du. 2024e · 2024
Later among the works it cites.
MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents
Ruochen Li, Teerth Patel, Qingyun Wang, and Xinya Du. 2024f · 2024
Later among the works it cites.
Explaining Relationships Among Research Papers
Xiangci Li and Jessica Ouyang. 2024a · 2024
Later among the works it cites.
Related Work and Citation Text Generation: A Survey
Xiangci Li and Jessica Ouyang. 2024b · 2024
Later among the works it cites.
Simulating Expert Discussions with Multi-agent for Enhanced Scientific Problem Solving. In Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP 2024) . 243–256
Ziyue Li, Yuan Chang, and Xiaoqiu Le. 2024a · 2024
Later among the works it cites.
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. In Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024 . OpenReview.net
Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel A. McFarland, and James Y. Zou. 2024a · 2024
Later among the works it cites.
Mapping the Increasing Use of LLMs in Scientific Papers
Weixin Liang, Yaohui Zhang, Zhengxuan Wu, Haley Lepp, Wenlong Ji, Xuandong Zhao, Hancheng Cao, Sheng Liu, Siyu He, Zhi Huang, Diyi Yang, Christopher Potts, Christopher D. Manning, and James Y. Zou. 2024b · 2024
Later among the works it cites.
Literature Meets Data: A Synergistic Approach to Hypothesis Generation
Haokun Liu, Yangqiaoyu Zhou, Mingxuan Li, Chenfei Yuan, and Chenhao Tan. 2024c · 2024
Later among the works it cites.
Conversational Drug Editing Using Retrieval and Domain Feedback. In The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024 . OpenReview.net
Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, and Chaowei Xiao. 2024a · 2024
Later among the works it cites.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Chris Lu, Cong Lu, Robert Tjarko Lange, Jakob Foerster, Jeff Clune, and David Ha. 2024 · 2024
Later among the works it cites.
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery. In Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024 . OpenReview.net
Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, and Wojciech Matusik. 2024 · 2024
Later among the works it cites.
Position: Data-driven Discovery with Large Generative Models. In Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024 . OpenReview.net
Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Sanchaita Hazra, Ashish Sabharwal, and Peter Clark. 2024a · 2024
Later among the works it cites.
DiscoveryBench: Towards Data-Driven Discovery with Large Language Models
Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Bhavana Dalvi Mishra, Abhijeetsingh Meena, Aryan Prakhar, Tirth Vora, Tushar Khot, Ashish Sabharwal, and Peter Clark. 2024b · 2024
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Anna Martin-Boyle, Aahan Tyagi, Marti A. Hearst, and Dongyeop Kang. 2024 · 2024
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DocPilot: Copilot for Automating PDF Edit Workflows in Documents
Puneet Mathur, Alexa Siu, Varun Manjunatha, and Tong Sun. 2024 · 2024
Later among the works it cites.
Toward Structured Related Work Generation with Novelty Statements. In Proceedings of the Fourth Workshop on Scholarly Document Processing (SDP 2024) , Tirthankar Ghosal, Amanpreet Singh, Anita Waard, Philipp Mayr, Aakanksha Naik, Orion Weller, Yoonjoo Lee, Shannon Shen, and Yanxia Qin (Eds.). Association for Computational Linguistics, Bangkok, Thailand, 38–57
Kazuya Nishimura, Kuniaki Saito, Tosho Hirasawa, and Yoshitaka Ushiku. 2024 · 2024
Later among the works it cites.
Opening a conversation on responsible environmental data science in the age of large language models
Ruth Y Oliver, Melissa Chapman, Nathan Emery, Lauren Gillespie, Natasha Gownaris, Sophia Leiker, Anna C Nisi, David Ayers, Ian Breckheimer, Hannah Blondin, et al · 2024
Later among the works it cites.
Emerging plagiarism in peer-review evaluation reports: a tip of the iceberg?
Mikolaj Piniewski, Ivan Jaric, Demetris Koutsoyiannis, and Zbigniew W. Kundzewicz. 2024 · 2024
Later among the works it cites.
Kevin Pu, KJ Feng, Tovi Grossman, Tom Hope, Bhavana Dalvi Mishra, Matt Latzke, Jonathan Bragg, Joseph Chee Chang, and Pao Siangliulue. 2024 · 2024
Later among the works it cites.
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. In The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024 . OpenReview.net
Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, and Xiang Ren. 2024 · 2024
Later among the works it cites.
Scideator: Human-LLM Scientific Idea Generation Grounded in Research-Paper Facet Recombination
Marissa Radensky, Simra Shahid, Raymond Fok, Pao Siangliulue, Tom Hope, and Daniel S. Weld. 2024a · 2024
Later among the works it cites.
Scideator: Human-LLM Scientific Idea Generation Grounded in Research-Paper Facet Recombination
Marissa Radensky, Simra Shahid, Raymond Fok, Pao Siangliulue, Tom Hope, and Daniel S. Weld. 2024b · 2024
Later among the works it cites.
Navigating Complexity: Orchestrated Problem Solving with Multi-Agent LLMs
Sumedh Rasal and E. J. Hauer. 2024 · 2024
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Zeeshan Rasheed, Muhammad Waseem, Aakash Ahmad, Kai-Kristian Kemell, Xiaofeng Wang, Anh Nguyen-Duc, and Pekka Abrahamsson. 2024 · 2024
Later among the works it cites.
Mathematical discoveries from program search with large language models
Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Matej Balog, M. Pawan Kumar, Emilien Dupont, Francisco J. R. Ruiz, Jordan S. Ellenberg, Pengming Wang, Omar Fawzi, Pushmeet Kohli, and Alhussein Fawzi. 2024 · 2024
Later among the works it cites.
An automatic end-to-end chemical synthesis development platform powered by large language models
Yixiang Ruan, Chenyin Lu, Ning Xu, Yuchen He, Yixin Chen, Jian Zhang, Jun Xuan, Jianzhang Pan, Qun Fang, Hanyu Gao, et al · 2024
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Prompting LLMs to Compose Meta-Review Drafts from Peer-Review Narratives of Scholarly Manuscripts
Shubhra Kanti Karmaker Santu, Sanjeev Kumar Sinha, Naman Bansal, Alex Knipper, Souvika Sarkar, John Salvador, Yash Mahajan, Sri Guttikonda, Mousumi Akter, Matthew Freestone, and Matthew C. Williams Jr. 2024 · 2024
Later among the works it cites.
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, and Chandan K. Reddy. 2024 · 2024
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Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
Chenglei Si, Diyi Yang, and Tatsunori Hashimoto. 2024 · 2024
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Zachary S. Siegel, Sayash Kapoor, Nitya Nagdir, Benedikt Stroebl, and Arvind Narayanan. 2024 · 2024
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Rethinking Interpretability in the Era of Large Language Models
Chandan Singh, Jeevana Priya Inala, Michel Galley, Rich Caruana, and Jianfeng Gao. 2024 · 2024
Later among the works it cites.
Language agents achieve superhuman synthesis of scientific knowledge
Michael D. Skarlinski, Sam Cox, Jon M. Laurent, James D. Braza, Michaela M. Hinks, Michael J. Hammerling, Manvitha Ponnapati, Samuel G. Rodriques, and Andrew D. White. 2024 · 2024
Later among the works it cites.
CHEMREASONER: Heuristic Search over a Large Language Model’s Knowledge Space using Quantum-Chemical Feedback. In Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024 . OpenReview.net
Henry W. Sprueill, Carl Edwards, Khushbu Agarwal, Mariefel V. Olarte, Udishnu Sanyal, Conrad Johnston, Hongbin Liu, Heng Ji, and Sutanay Choudhury. 2024 · 2024
Later among the works it cites.
Haoyang Su, Renqi Chen, Shixiang Tang, Xinzhe Zheng, Jingzhe Li, Zhenfei Yin, Wanli Ouyang, and Nanqing Dong. 2024 · 2024
Later among the works it cites.
ReviewFlow: Intelligent Scaffolding to Support Academic Peer Reviewing. In Proceedings of the 29th International Conference on Intelligent User Interfaces, IUI 2024, Greenville, SC, USA, March 18-21, 2024 . ACM, 120–137
Lu Sun, Aaron Chan, Yun Seo Chang, and Steven P. Dow. 2024 · 2024
Later among the works it cites.
Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning
Teo Susnjak, Peter Hwang, Napoleon H. Reyes, Andre L. C. Barczak, Timothy R. McIntosh, and Surangika Ranathunga. 2024 · 2024
Later among the works it cites.
Large Language Models for Data Annotation: A Survey
Zhen Tan, Alimohammad Beigi, Song Wang, Ruocheng Guo, Amrita Bhattacharjee, Bohan Jiang, Mansooreh Karami, Jundong Li, Lu Cheng, and Huan Liu. 2024 · 2024
Later among the works it cites.
Efficient Evolutionary Search Over Chemical Space with Large Language Models
Haorui Wang, Marta Skreta, Cher-Tian Ser, Wenhao Gao, Lingkai Kong, Felix Streith-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Alán Aspuru-Guzik, Kirill Neklyudov, and Chao Zhang. 2024e · 2024
Later among the works it cites.
A survey on large language model based autonomous agents
Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, and Jirong Wen. 2024d · 2024
Later among the works it cites.
SciMON: Scientific Inspiration Machines Optimized for Novelty. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2024, Bangkok, Thailand, August 11-16, 2024 , Lun-Wei Ku, Andre Martins, and Vivek Srikumar (Eds.). Association for Computational Linguistics, 279–299
Qingyun Wang, Doug Downey, Heng Ji, and Tom Hope. 2024a · 2024
Later among the works it cites.
AutoSurvey: Large Language Models Can Automatically Write Surveys
Yidong Wang, Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Min Zhang, Qingsong Wen, Wei Ye, Shikun Zhang, and Yue Zhang. 2024c · 2024
Later among the works it cites.
CycleResearcher: Improving Automated Research via Automated Review
Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, and Linyi Yang. 2024 · 2024
Later among the works it cites.
Human-Centered Evaluation and Auditing of Language Models. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, CHI EA 2024, Honolulu, HI, USA, May 11-16, 2024 , Florian ’Floyd’ Mueller, Penny Kyburz, Julie R. Williamson, and Corina Sas (Eds.). ACM, 476:1–476:6
Ziang Xiao, Wesley Hanwen Deng, Michelle S. Lam, Motahhare Eslami, Juho Kim, Mina Lee, and Q. Vera Liao. 2024 · 2024
Later among the works it cites.
MentaLLaMA: interpretable mental health analysis on social media with large language models. In Proceedings of the ACM on Web Conference 2024 . 4489–4500
Kailai Yang, Tianlin Zhang, Ziyan Kuang, Qianqian Xie, Jimin Huang, and Sophia Ananiadou. 2024c · 2024
Later among the works it cites.
Large Language Models for Automated Open-domain Scientific Hypotheses Discovery. In Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024 , Lun-Wei Ku, Andre Martins, and Vivek Srikumar (Eds.). Association for Computational Linguistics, 13545–13565
Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, and Erik Cambria. 2024a · 2024
Later among the works it cites.
MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses
Zonglin Yang, Wanhao Liu, Ben Gao, Tong Xie, Yuqiang Li, Wanli Ouyang, Soujanya Poria, Erik Cambria, and Dongzhan Zhou. 2024b · 2024
Later among the works it cites.
DrugAssist: A Large Language Model for Molecule Optimization
Geyan Ye, Xibao Cai, Houtim Lai, Xing Wang, Junhong Huang, Longyue Wang, Wei Liu, and Xiangxiang Zeng. 2024 · 2024
Later among the works it cites.
Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis
Jianxiang Yu, Zichen Ding, Jiaqi Tan, Kangyang Luo, Zhenmin Weng, Chenghua Gong, Long Zeng, Renjing Cui, Chengcheng Han, Qiushi Sun, Zhiyong Wu, Yunshi Lan, and Xiang Li. 2024a · 2024
Later among the works it cites.
Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review
Sungduk Yu, Man Luo, Avinash Madasu, Vasudev Lal, and Phillip Howard. 2024b · 2024
Later among the works it cites.
Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluation
Qi Zeng, Mankeerat Sidhu, Ansel Blume, Hou Pong Chan, Lu Wang, and Heng Ji. 2024 · 2024
Later among the works it cites.
Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, and Jiawei Han. 2024 · 2024
Later among the works it cites.
Revolutionizing Finance with LLMs: An Overview of Applications and Insights
Huaqin Zhao, Zhengliang Liu, Zihao Wu, Yiwei Li, Tianze Yang, Peng Shu, Shaochen Xu, Haixing Dai, Lin Zhao, Gengchen Mai, Ninghao Liu, and Tianming Liu. 2024 · 2024
Later among the works it cites.
Is LLM a Reliable Reviewer? A Comprehensive Evaluation of LLM on Automatic Paper Reviewing Tasks. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 20-25 May, 2024, Torino, Italy , Nicoletta Calzolari, Min-Yen Kan, Véronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue (Eds.). ELRA and ICCL, 9340–9351
Ruiyang Zhou, Lu Chen, and Kai Yu. 2024a · 2024
Later among the works it cites.
Hypothesis Generation with Large Language Models
Yangqiaoyu Zhou, Haokun Liu, Tejes Srivastava, Hongyuan Mei, and Chenhao Tan. 2024b · 2024
Later among the works it cites.
Can Large Language Models Transform Computational Social Science?
Caleb Ziems, William Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, and Diyi Yang. 2024 · 2024
Later among the works it cites.
Leveraging Large Language Models for Literature Review Tasks - A Case Study Using ChatGPT. In Advanced Research in Technologies, Information, Innovation and Sustainability , Teresa Guarda, Filipe Portela, and Jose Maria Diaz-Nafria (Eds.). Springer Nature Switzerland, Cham, 313–323
Robert Zimmermann, Marina Staab, Mehran Nasseri, and Patrick Brandtner. 2024 · 2024
Later among the works it cites.
Towards Automated Related Work Summarization. In COLING 2010, 23rd International Conference on Computational Linguistics, Posters Volume, 23-27 August 2010, Beijing, China , Chu-Ren Huang and Dan Jurafsky (Eds.). Chinese Information Processing Society of China, 427–435
Vu Cong Duy Hoang and Min-Yen Kan. 2010 · 2049
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