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Resolving ambiguities through interaction is a hallmark of natural language, and modeling this behavior is a core challenge in crafting AI assistants.
Selective attention for context-aware neural machine translation
Sameen Maruf, André FT Martins, and Gholamreza Haffari. 2019 · 1903
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Interactive classification by asking informative questions
L. Yu, Howard Chen, Sida Wang, Yoav Artzi, and Tao Lei. 2019 · 1911
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Ambigqa: Answering ambiguous open-domain questions
Sewon Min, Julian Michael, Hannaneh Hajishirzi, and Luke Zettlemoyer. 2020 · 2004
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Selective question answering under domain shift
Amita Kamath, Robin Jia, and Percy Liang. 2020 · 2006
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On the foundations of noise-free selective classification
Ran El-Yaniv and Yair Wiener. 2010 · 2010
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The communicative function of ambiguity in language
Steven T Piantadosi, Harry Tily, and Edward Gibson. 2012 · 2012
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Squad: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
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Reading wikipedia to answer open-domain questions
Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes. 2017 · 2017
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Evaluating discourse phenomena in neural machine translation
Rachel Bawden, Rico Sennrich, Alexandra Birch, and Barry Haddow. 2018 · 2018
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Sudha Rao and Hal Daumé III. 2018 · 2018
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A broad-coverage challenge corpus for sentence understanding through inference
Adina Williams, Nikita Nangia, and Samuel Bowman. 2018 · 2018
Cited alongside, same era.
Natural questions: a benchmark for question answering research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, et al. 2019 · 2019
Cited alongside, same era.
Inherent disagreements in human textual inferences
Ellie Pavlick and Tom Kwiatkowski. 2019 · 2019
Cited alongside, same era.
When a good translation is wrong in context: Context-aware machine translation improves on deixis, ellipsis, and lexical cohesion
Elena Voita, Rico Sennrich, and Ivan Titov. 2019 · 2019
Cited alongside, same era.
Document-level neural mt: A systematic comparison
António V Lopes, M Amin Farajian, Rachel Bawden, Michael Zhang, and André FT Martins. 2020 · 2020
Cited alongside, same era.
Introducing chatgpt
OpenAI. 2022 · 2022
Later among the works it cites.
Measuring and narrowing the compositionality gap in language models
Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A Smith, and Mike Lewis. 2022 · 2022
Later among the works it cites.
Valentina Pyatkin, Jena D Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi, and Chandra Bhagavatula. 2022 · 2022
Later among the works it cites.
Plex: Towards reliability using pretrained large model extensions
Dustin Tran, Jeremiah Liu, Michael W Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda Mariet, Huiyi Hu, et al. 2022 · 2022
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Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2021 · 2021
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Bbq: A hand-built bias benchmark for question answering
Alicia Parrish, Angelica Chen, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Jana Thompson, Phu Mon Htut, and Samuel R Bowman. 2021 · 2021
Cited alongside, same era.
When does translation require context? a data-driven, multilingual exploration
Kayo Yin, Patrick Fernandes, André FT Martins, and Graham Neubig. 2021 · 2021
Cited alongside, same era.
Language models (mostly) know what they know
Saurav Kadavath, Tom Conerly, Amanda Askell, Tom Henighan, Dawn Drain, Ethan Perez, Nicholas Schiefer, Zac Hatfield-Dodds, Nova DasSarma, Eli Tran-Johnson, et al. 2022 · 2022
Cited alongside, same era.
Teaching models to express their uncertainty in words
Stephanie Lin, Jacob Hilton, and Owain Evans. 2022 · 2022
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Jeremy R Cole, Michael JQ Zhang, Daniel Gillick, Julian Martin Eisenschlos, Bhuwan Dhingra, and Jacob Eisenstein. 2023 · 2023
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Lorenz Kuhn, Yarin Gal, and Sebastian Farquhar. 2023 · 2023
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We’re afraid language models aren’t modeling ambiguity
Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A Smith, and Yejin Choi. 2023 · 2023
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Jonathan Pilault, Xavier Garcia, Arthur Bražinskas, and Orhan Firat. 2023 · 2023
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Distilling reasoning capabilities into smaller language models
Kumar Shridhar, Alessandro Stolfo, and Mrinmaya Sachan. 2023 · 2023
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Ambicoref: Evaluating human and model sensitivity to ambiguous coreference
Yuewei Yuan, Chaitanya Malaviya, and Mark Yatskar. 2023 · 2023
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