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The powerful capabilities of Large Language Models (LLMs) have led to their growing use in evaluating human-generated content, particularly in evaluating research ideas within academic settings.
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Near linear time algorithm to detect community structures in large-scale networks
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Complex cognition: the science of human reasoning, problem-solving, and decision-making, 2010
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Concepts and categories: Memory, meaning, and metaphysics
Lance J Rips, Edward E Smith, and Douglas L Medin · 2012
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Adam: A method for stochastic optimization
P Kingma Diederik · 2014
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Embodied cognition, abstract concepts, and the benefits of new technology for implicit body manipulation
Katinka Dijkstra, Anita Eerland, Josjan Zijlmans, and Lysanne S Post · 2014
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A neural attention model for abstractive sentence summarization
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Grounded understanding of abstract concepts: The case of stem learning
Justin C Hayes and David JM Kraemer · 2017
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Label propagation based semi-supervised learning for software defect prediction
Zhi-Wu Zhang, Xiao-Yuan Jing, and Tie-Jian Wang · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin · 2018
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A roadmap for understanding memory: Decomposing cognitive processes into operations and representations
Rosemary A Cowell, Morgan D Barense, and Patrick S Sadil · 2019
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Application of cnn deep learning in product design evaluation
Baorui Li, Yi Wang, Kesheng Wang, and Jinghui Yang · 2019
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Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf · 2019
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Simplifying graph convolutional networks
Felix Wu, Amauri Souza, Tianyi Zhang, Christopher Fifty, Tao Yu, and Kilian Weinberger · 2019
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Language models are few-shot learners
Tom B Brown · 2020
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Lightgcn: Simplifying and powering graph convolution network for recommendation
Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, and Meng Wang · 2020
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How to represent abstract concepts? from the perspective of conceptual metaphor theory
Yanli Huang · 2020
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Bert based clinical knowledge extraction for biomedical knowledge graph construction and analysis
Ayoub Harnoune, Maryem Rhanoui, Mounia Mikram, Siham Yousfi, Zineb Elkaimbillah, and Bouchra El Asri · 2021
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Unsupervised dense information retrieval with contrastive learning
Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, and Edouard Grave · 2021
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Entity-level factual consistency of abstractive text summarization
Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cicero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen McKeown, and Bing Xiang · 2021
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Multilingual evaluation of pre-processing for bert-based sentiment analysis of tweets
Marco Pota, Mirko Ventura, Hamido Fujita, and Massimo Esposito · 2021
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Cnn-based evaluation method of academic innovation effect of american research universities
Lina Sun and Sitan Li · 2021
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Bert-based dialogue evaluation methods with ruber framework
Aye Thida · 2021
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The understanding of abstract concepts: a perspective from distributed models of conceptual representation
Omid Khatin-Zadeh and Danyal Farsani · 2022
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A fine-tuned bert-based transfer learning approach for text classification
Rukhma Qasim, Waqas Haider Bangyal, Mohammed A Alqarni, and Abdulwahab Ali Almazroi · 2022
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Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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Can we automate scientific reviewing?
Weizhe Yuan, Pengfei Liu, and Graham Neubig · 2022
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Iterative zero-shot llm prompting for knowledge graph construction
Salvatore Carta, Alessandro Giuliani, Leonardo Piano, Alessandro Sebastian Podda, Livio Pompianu, and Sandro Gabriele Tiddia · 2023
Hanlei Jin, Yang Zhang, Dan Meng, Jun Wang, and Jinghua Tan · 2024
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How good are llms at relation extraction under low-resource scenario? comprehensive evaluation
Dawulie Jinensibieke, Mieradilijiang Maimaiti, Wentao Xiao, Yuanhang Zheng, and Xiangbo Wang · 2024
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Ai-based novelty detection in crowdsourced idea spaces
Julian Just, Thomas Ströhle, Johann Füller, and Katja Hutter · 2024
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Langchain graphs
LangChain · 2024
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Can large language models provide useful feedback on research papers? a large-scale empirical analysis
Weixin Liang, Yuhui Zhang, Hancheng Cao, Binglu Wang, Daisy Yi Ding, Xinyu Yang, Kailas Vodrahalli, Siyu He, Daniel Scott Smith, Yian Yin, et al · 2024
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Human-like summarization evaluation with chatgpt
Mingqi Gao, Jie Ruan, Renliang Sun, Xunjian Yin, Shiping Yang, and Xiaojun Wan · 2023
Cited alongside, same era.
Llms accelerate annotation for medical information extraction
Akshay Goel, Almog Gueta, Omry Gilon, Chang Liu, Sofia Erell, Lan Huong Nguyen, Xiaohong Hao, Bolous Jaber, Shashir Reddy, Rupesh Kartha, et al · 2023
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Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed · 2023
Cited alongside, same era.
Litton J Kurisinkel and Nancy F Chen · 2023
Cited alongside, same era.
Unified demonstration retriever for in-context learning
Xiaonan Li, Kai Lv, Hang Yan, Tianyang Lin, Wei Zhu, Yuan Ni, Guotong Xie, Xiaoling Wang, and Xipeng Qiu · 2023
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Hunter Lightman, Vineet Kosaraju, Yura Burda, Harri Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, and Karl Cobbe · 2023
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Chatgpt as a factual inconsistency evaluator for text summarization
Zheheng Luo, Qianqian Xie, and Sophia Ananiadou · 2023
Cited alongside, same era.
Llamaindex knowledge graph index
LlamaIndex · 2024
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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
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Let your graph do the talking: Encoding structured data for llms
Bryan Perozzi, Bahare Fatemi, Dustin Zelle, Anton Tsitsulin, Mehran Kazemi, Rami Al-Rfou, and Jonathan Halcrow · 2024
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Grapheval: A knowledge-graph based llm hallucination evaluation framework
Hannah Sansford, Nicholas Richardson, Hermina Petric Maretic, and Juba Nait Saada · 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, et al · 2024
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Path-llm: A shortest-path-based llm learning for unified graph representation
Wenbo Shang, Xuliang Zhu, and Xin Huang · 2024
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Who validates the validators? aligning llm-assisted evaluation of llm outputs with human preferences
Shreya Shankar, JD Zamfirescu-Pereira, Björn Hartmann, Aditya G Parameswaran, and Ian Arawjo · 2024
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Llm-powered explanations: Unraveling recommendations through subgraph reasoning
Guangsi Shi, Xiaofeng Deng, Linhao Luo, Lijuan Xia, Lei Bao, Bei Ye, Fei Du, Shirui Pan, and Yuxiao Li · 2024
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Reflexion: Language agents with verbal reinforcement learning
Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao · 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
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Enhancing llm-based feedback: Insights from intelligent tutoring systems and the learning sciences
John Stamper, Ruiwei Xiao, and Xinying Hou · 2024
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AI-GENERATED EVALUATION: THE INFLUENCE OF CHATGPT EVALUATION ON INDIVIDUALS’DECISIONS IN THE IDEA EVALUATION PHASE
Thanyalak Ubonsiri · 2024
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Human-llm collaborative annotation through effective verification of llm labels
Xinru Wang, Hannah Kim, Sajjadur Rahman, Kushan Mitra, and Zhengjie Miao · 2024
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Are llms good annotators for discourse-level event relation extraction?
Kangda Wei, Aayush Gautam, and Ruihong Huang · 2024
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Good idea or not, representation of llm could tell
Yi Xu, Bo Xue, Shuqian Sheng, Cheng Deng, Jiaxin Ding, Zanwei Shen, Luoyi Fu, Xinbing Wang, and Chenghu Zhou · 2024
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Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lecue, Jinghui Lu, and Irene Li · 2024
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Tree of thoughts: Deliberate problem solving with large language models
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, and Karthik Narasimhan · 2024
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Llms for knowledge graph construction and reasoning: Recent capabilities and future opportunities
Yuqi Zhu, Xiaohan Wang, Jing Chen, Shuofei Qiao, Yixin Ou, Yunzhi Yao, Shumin Deng, Huajun Chen, and Ningyu Zhang · 2024
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