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Many real-world applications (e.g., note taking, search) require extracting a sentence or paragraph from a document and showing that snippet to a human outside of the source document.
The role of context in question answering systems
Jimmy Lin, Dennis Quan, Vineet Sinha, Karun Bakshi, David Huynh, Boris Katz, and David R. Karger. 2003 · 2003
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Matching citation text and cited spans in biomedical literature: a search-oriented approach
Arman Cohan, Luca Soldaini, and Nazli Goharian. 2015 · 2015
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Supporting mobile sensemaking through intentionally uncertain highlighting
Joseph Chee Chang, Nathan Hahn, and Aniket Kittur. 2016 · 2016
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Potential questions at the semantics-pragmatics interface
Edgar Onea. 2016 · 2016
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Question-based Models of Information Structure
Leah Velleman and David Beaver. 2016 · 2016
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Optimizing statistical machine translation for text simplification
Wei Xu, Courtney Napoles, Ellie Pavlick, Quanze Chen, and Chris Callison-Burch. 2016 · 2016
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Contextualizing citations for scientific summarization using word embeddings and domain knowledge
Arman Cohan and Nazli Goharian. 2017 · 2017
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Inherent biases in reference-based evaluation for grammatical error correction
Leshem Choshen and Omri Abend. 2018 · 2018
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QUD-based annotation of discourse structure and information structure: Tool and evaluation
Kordula De Kuthy, Nils Reiter, and Arndt Riester. 2018 · 2018
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GLTR: Statistical detection and visualization of generated text
Sebastian Gehrmann, Hendrik Strobelt, and Alexander Rush. 2019 · 2019
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Constructing qud trees
Arndt Riester. 2019 · 2019
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FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization
Esin Durmus, He He, and Mona Diab. 2020 · 2020
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Inquisitive question generation for high level text comprehension
Wei-Jen Ko, Te-yuan Chen, Yiyan Huang, Greg Durrett, and Junyi Jessy Li. 2020 · 2020
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S2ORC: The semantic scholar open research corpus
Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, and Daniel Weld. 2020 · 2020
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QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines
Valentina Pyatkin, Ayal Klein, Reut Tsarfaty, and Ido Dagan. 2020 · 2020
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Conversations with documents: An exploration of document-centered assistance
Maartje ter Hoeve, Robert Sim, Elnaz Nouri, Adam Fourney, Maarten de Rijke, and Ryen W. White. 2020 · 2020
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Bertscore: Evaluating text generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
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QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions
Daniela Brook Weiss, Paul Roit, Ayal Klein, Ori Ernst, and Ido Dagan. 2021 · 2021
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Decontextualization: Making sentences stand-alone
Eunsol Choi, Jennimaria Palomaki, Matthew Lamm, Tom Kwiatkowski, Dipanjan Das, and Michael Collins. 2021 · 2021
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All that’s ‘human’ is not gold: Evaluating human evaluation of generated text
Elizabeth Clark, Tal August, Sofia Serrano, Nikita Haduong, Suchin Gururangan, and Noah A. Smith. 2021 · 2021
Cited alongside, same era.
A dataset of information-seeking questions and answers anchored in research papers
Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, and Matt Gardner. 2021 · 2021
Cited alongside, same era.
Hammer pdf: An intelligent pdf reader for scientific papers
Sheng-Fu Wang, Shu-Hang Liu, Tian-Yi Che, Yi-Fan Lu, Song-Xiao Yang, Heyan Huang, and Xian-Ling Mao. 2022 · 2022
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Chain of thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, brian ichter, Fei Xia, Ed H. Chi, Quoc V Le, and Denny Zhou. 2022 · 2022
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Paper plain: Making medical research papers approachable to healthcare consumers with natural language processing
Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A. Hearst, Andrew Head, and Kyle Lo. 2023 · 2023
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Citesee: Augmenting citations in scientific papers with persistent and personalized historical context
Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, and Daniel S. Weld. 2023a · 2023
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Decomposed prompting: A modular approach for solving complex tasks
Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, and Ashish Sabharwal. 2023 · 2023
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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 · 2021
Cited alongside, same era.
Explaining relationships between scientific documents
Kelvin Luu, Xinyi Wu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, and Noah A. Smith. 2021 · 2021
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Attributed question answering: Evaluation and modeling for attributed large language models
Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, and Kellie Webster. 2022 · 2022
Cited alongside, same era.
Honest students from untrusted teachers: Learning an interpretable question-answering pipeline from a pretrained language model
Jacob Eisenstein, Daniel Andor, Bernd Bohnet, Michael Collins, and David Mimno. 2022 · 2022
Cited alongside, same era.
Passages: Interacting with text across documents
Han L. Han, Junhang Yu, Raphael Bournet, Alexandre Ciorascu, Wendy E. Mackay, and Michel Beaudouin-Lafon. 2022 · 2022
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Language models as zero-shot planners: Extracting actionable knowledge for embodied agents
Wenlong Huang, Pieter Abbeel, Deepak Pathak, and Igor Mordatch. 2022 · 2022
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Understanding questions that arise when working with business documents
Farnaz Jahanbakhsh, Elnaz Nouri, Robert Sim, Ryen W. White, and Adam Fourney. 2022 · 2022
Cited alongside, same era.
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Chameleon: Plug-and-play compositional reasoning with large language models
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, and Jianfeng Gao. 2023 · 2023
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Followupqg: Towards information-seeking follow-up question generation
Yan Meng, Liangming Pan, Yixin Cao, and Min-Yen Kan. 2023 · 2023
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Augmented language models: a survey
Grégoire Mialon, Roberto Dessi, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Roziere, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, and Thomas Scialom. 2023 · 2023
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Art: Automatic multi-step reasoning and tool-use for large language models
Bhargavi Paranjape, Scott M. Lundberg, Sameer Singh, Hanna Hajishirzi, Luke Zettlemoyer, and Marco Tulio Ribeiro. 2023 · 2023
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Concise answers to complex questions: Summarization of long-form answers
Abhilash Potluri, Fangyuan Xu, and Eunsol Choi. 2023 · 2023
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Toolformer: Language models can teach themselves to use tools
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom. 2023 · 2023
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Pearl: Prompting large language models to plan and execute actions over long documents
Simeng Sun, Y. Liu, Shuo Wang, Chenguang Zhu, and Mohit Iyyer. 2023 · 2023
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Ghostbuster: Detecting text ghostwritten by large language models
Vivek Kumar Verma, Eve Fleisig, Nicholas Tomlin, and Dan Klein. 2023 · 2023
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Elaborative simplification as implicit questions under discussion
Yating Wu, William Sheffield, Kyle Mahowald, and Junyi Jessy Li. 2023 · 2023
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Extractive is not faithful: An investigation of broad unfaithfulness problems in extractive summarization
Shiyue Zhang, David Wan, and Mohit Bansal. 2023 · 2023
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