HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance

Unremarkable AI: fitting intelligent decision support into critical, clinical decision-making processes

Original

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Undiscovered public knowledge

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Case-based reasoning in care-partner: Gathering evidence for evidence-based medical practice

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The automation of science

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Comparison of jaccard, dice, cosine similarity coefficient to find best fitness value for web retrieved documents using genetic algorithm

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Generating medical hypotheses based on evolutionary medical concepts

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A systematic review on literature-based discovery: general overview, methodology, & statistical analysis

Menasha Thilakaratne, Katrina Falkner, and Thushari Atapattu. 2019 · 2019

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Agatha: automatic graph mining and transformer based hypothesis generation approach

Justin Sybrandt, Ilya Tyagin, Michael Shtutman, and Ilya Safro. 2020 · 2020

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Domain-specific language model pretraining for biomedical natural language processing

Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, and Hoifung Poon. 2021 · 2021

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Lora: Low-rank adaptation of large language models

Original

Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021

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Scientific language models for biomedical knowledge base completion: An empirical study

Rahul Nadkarni, David Wadden, Iz Beltagy, Noah Smith, Hannaneh Hajishirzi, and Tom Hope · 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 · 2021

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Autonomous chemical research with large language models

Daniil A Boiko, Robert MacKnight, Ben Kline, and Gabe Gomes. 2023 · 2023

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Selective annotation makes language models better few-shot learners

Hongjin SU, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, and Tao Yu. 2023 · 2023

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Exploring and verbalizing academic ideas by concept co-occurrence

Yi Xu, Shuqian Sheng, Bo Xue, Luoyi Fu, Xinbing Wang, and Chenghu Zhou. 2023 · 2023

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Large language models for automated open-domain scientific hypotheses discovery

Original

Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, and Erik Cambria. 2023 · 2023

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Alignscore: Evaluating factual consistency with a unified alignment function

Yuheng Zha, Yichi Yang, Ruichen Li, and Zhiting Hu. 2023 · 2023

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The evolution of hypotheses in scientific literature: A review of impact and reach

Indunil Karunarathna, P Gunasena, T Hapuarachchi, and S Gunathilake. 2024 · 2024

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Can large language models unlock novel scientific research ideas?

Original

Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal, and Asif Ekbal. 2024 · 2024

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Chain of ideas: Revolutionizing research via novel idea development with llm agents

Original

Long Li, Weiwen Xu, Jiayan Guo, Ruochen Zhao, Xingxuan Li, Yuqian Yuan, Boqiang Zhang, Yuming Jiang, Yifei Xin, Ronghao Dang, et al. 2024 · 2024

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Related work and citation text generation: A survey

Xiangci Li and Jessica Ouyang. 2024 · 2024

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The ai scientist: Towards fully automated open-ended scientific discovery

Original