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Language models are known to hallucinate incorrect information, and it is unclear if they are sufficiently accurate and reliable for use in scientific research.
Affinity purification of an interferon-induced human guanylate-binding protein and its characterization
YS Cheng, Mary F Becker-Manley, Theresa P Chow, and Deborah C Horan · 1985
Earlier work this paper cites.
Golgi targeting of human guanylate-binding protein-1 requires nucleotide binding, isoprenylation, and an ifn- γ \gamma -inducible cofactor
Nir Modiano, Yanping E Lu, and Peter Cresswell · 2005
Earlier work this paper cites.
Human guanylate binding protein-1 is a secreted gtpase present in increased concentrations in the cerebrospinal fluid of patients with bacterial meningitis
Elisabeth Naschberger, Clara Lubeseder-Martellato, Nadine Meyer, Ruth Gessner, Elisabeth Kremmer, Andrè Gessner, and Michael Stürzl · 2006
Earlier work this paper cites.
Lef-1 and tcf4 expression correlate inversely with survival in colorectal cancer
Lydia Kriegl, David Horst, Jana A Reiche, Jutta Engel, Thomas Kirchner, and Andreas Jung · 2010
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Intracellular trafficking of guanylate-binding proteins is regulated by heterodimerization in a hierarchical manner
Nathalie Britzen-Laurent, Michael Bauer, Valeria Berton, Nicole Fischer, Adrian Syguda, Simone Reipschläger, Elisabeth Naschberger, Christian Herrmann, and Michael Stürzl · 2010
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Comparative profiling of primary colorectal carcinomas and liver metastases identifies lef1 as a prognostic biomarker
Albert Y Lin, Mei-Sze Chua, Yoon-La Choi, William Yeh, Young H Kim, Raymond Azzi, Gregg A Adams, Kristin Sainani, Matt van de Rijn, Samuel K So, et al · 2011
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Increased lef1 expression and decreased notch2 expression are strong predictors of poor outcomes in colorectal cancer patients
Wen-Juan Wang, Yu Yao, Li-Li Jiang, Ting-Hua Hu, Jie-Qun Ma, Zhi-Ping Ruan, Tao Tian, Hui Guo, Shu-Hong Wang, and Ke-Jun Nan · 2013
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Knockdown of lymphoid enhancer factor 1 inhibits colon cancer progression in vitro and in vivo
Wen-Juan Wang, Yu Yao, Li-Li Jiang, Ting-Hua Hu, Jie-Qun Ma, Zi-Jun Liao, Jun-Tao Yao, Dong-Fan Li, Shu-Hong Wang, and Ke-Jun Nan · 2013
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Fact checking: Task definition and dataset construction
Andreas Vlachos and Sebastian Riedel · 2014
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Lef-1 is frequently expressed in colorectal carcinoma and not in other gastrointestinal tract adenocarcinomas: an immunohistochemical survey of 602 gastrointestinal tract neoplasms
Taher R Kermanshahi, Priya Jayachandran, Daniel T Chang, and Reet Pai · 2014
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Znf804a rs1344706 is associated with cortical thickness, surface area, and cortical volume of the unmedicated first episode schizophrenia and healthy controls
Qinling Wei, Meng Li, Zhuang Kang, Leijun Li, Feici Diao, Ruibin Zhang, Junjing Wang, Liangrong Zheng, Xue Wen, Jinbei Zhang, et al · 2015
Earlier work this paper cites.
Emergent: a novel data-set for stance classification
William Ferreira and Andreas Vlachos · 2016
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Where the truth lies: Explaining the credibility of emerging claims on the web and social media
Kashyap Popat, Subhabrata Mukherjee, Jannik Strötgen, and Gerhard Weikum · 2017
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Know what you don’t know: Unanswerable questions for squad
Pranav Rajpurkar, Robin Jia, and Percy Liang · 2018
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PubMedQA: A dataset for biomedical research question answering
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William Cohen, and Xinghua Lu · 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
Earlier work this paper cites.
Pleiotropic action of genetic variation in znf804a on brain structure: a meta-analysis of magnetic resonance imaging studies
Shuai Wang, Yi He, Zi Chen, Yanzhang Li, Jingping Zhao, and Luxian Lyu · 2019
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al · 2020
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Generation-augmented retrieval for open-domain question answering
Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, and Weizhu Chen · 2020
Earlier work this paper cites.
Fact or fiction: Verifying scientific claims
David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, and Hannaneh Hajishirzi · 2020
Earlier work this paper cites.
Retrieval augmentation reduces hallucination in conversation
Kurt Shuster, Spencer Poff, Moya Chen, Douwe Kiela, and Jason Weston · 2021
Cited alongside, same era.
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
Cited alongside, same era.
Ehud Karpas, Omri Abend, Yonatan Belinkov, Barak Lenz, Opher Lieber, Nir Ratner, Yoav Shoham, Hofit Bata, Yoav Levine, Kevin Leyton-Brown, et al · 2022
Cited alongside, same era.
Exploring the challenges of open domain multi-document summarization
John Giorgi, Luca Soldaini, Bo Wang, Gary D Bader, Kyle Lo, Lucy Lu Wang, and Arman Cohan · 2022
Cited alongside, same era.
Assisting in writing wikipedia-like articles from scratch with large language models
Yijia Shao, Yucheng Jiang, Theodore A Kanell, Peter Xu, Omar Khattab, and Monica S Lam · 2024
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A comprehensive survey of hallucination mitigation techniques in large language models
SM Tonmoy, SM Zaman, Vinija Jain, Anku Rani, Vipula Rawte, Aman Chadha, and Amitava Das · 2024
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Large legal fictions: Profiling legal hallucinations in large language models
Matthew Dahl, Varun Magesh, Mirac Suzgun, and Daniel E Ho · 2024
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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
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Lanchain
Harrison Chase · 2022
Cited alongside, same era.
Retrieval-augmented generation for large language models: A survey
Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, and Haofen Wang · 2023
Cited alongside, same era.
Bioasq-qa: A manually curated corpus for biomedical question answering
Anastasia Krithara, Anastasios Nentidis, Konstantinos Bougiatiotis, and Georgios Paliouras · 2023
Cited alongside, same era.
Chat-rec: Towards interactive and explainable llms-augmented recommender system
Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, and Jiawei Zhang · 2023
Cited alongside, same era.
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
Cited alongside, same era.
https://github.com/kermitt2/grobid , 2008–2023
Grobid · 2023
Cited alongside, same era.
Large language models can be easily distracted by irrelevant context
Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H Chi, Nathanael Schärli, and Denny Zhou · 2023
Cited alongside, same era.
Functional cross-species conservation of guanylate-binding proteins in innate immunity
Luca Schelle, João Vasco Côrte-Real, Pedro José Esteves, Joana Abrantes, and Hanna-Mari Baldauf · 2023
Cited alongside, same era.
Yuwei Wan, Aswathy Ajith, Yixuan Liu, Ke Lu, Clara Grazian, Bram Hoex, Wenjie Zhang, Chunyu Kit, Tong Xie, and Ian Foster · 2024
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https://www.perplexity.ai/
Perplexity · 2024
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https://www.elicit.com/
Elicit · 2024
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Lost in the middle: How language models use long contexts
Nelson F Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang · 2024
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https://www.anthropic.com/news/claude-3-family
Introducing the next generation of Claude — anthropic.com · 2024
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Averitec: A dataset for real-world claim verification with evidence from the web
Michael Schlichtkrull, Zhijiang Guo, and Andreas Vlachos · 2024
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Bhashithe Abeysinghe and Ruhan Circi · 2024
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Raptor: Recursive abstractive processing for tree-organized retrieval
Parth Sarthi, Salman Abdullah, Aditi Tuli, Shubh Khanna, Anna Goldie, and Christopher D Manning · 2024
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Rankrag: Unifying context ranking with retrieval-augmented generation in llms
Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You, Chao Zhang, Mohammad Shoeybi, and Bryan Catanzaro · 2024
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https://www.crossref.org/
Crossref · 2024
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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
Closest in time.
https://www.perplexity.ai/
Perplexity · 2024
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https://www.elicit.com/
Elicit · 2024
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List of human protein-coding genes 1 — Wikipedia, the free encyclopedia
Wikipedia contributors · 2024
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https://www.anthropic.com/news/claude-3-family
Introducing the next generation of Claude — anthropic.com · 2024
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