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Matthew Lamm
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2020 – today
- 2023
- [j3]Hannah Rashkin, Vitaly Nikolaev, Matthew Lamm, Lora Aroyo, Michael Collins, Dipanjan Das, Slav Petrov, Gaurav Singh Tomar, Iulia Turc, David Reitter:
Measuring Attribution in Natural Language Generation Models. Comput. Linguistics 49(4): 777-840 (2023) - 2022
- [c7]Bhargavi Paranjape, Matthew Lamm, Ian Tenney:
Retrieval-guided Counterfactual Generation for QA. ACL (1) 2022: 1670-1686 - [i13]Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, YaGuang Li, Hongrae Lee, Huaixiu Steven Zheng, Amin Ghafouri, Marcelo Menegali, Yanping Huang, Maxim Krikun, Dmitry Lepikhin, James Qin, Dehao Chen, Yuanzhong Xu, Zhifeng Chen, Adam Roberts, Maarten Bosma, Yanqi Zhou, Chung-Ching Chang, Igor Krivokon, Will Rusch, Marc Pickett, Kathleen S. Meier-Hellstern, Meredith Ringel Morris, Tulsee Doshi, Renelito Delos Santos, Toju Duke, Johnny Soraker, Ben Zevenbergen, Vinodkumar Prabhakaran, Mark Diaz, Ben Hutchinson, Kristen Olson, Alejandra Molina, Erin Hoffman-John, Josh Lee, Lora Aroyo, Ravi Rajakumar, Alena Butryna, Matthew Lamm, Viktoriya Kuzmina, Joe Fenton, Aaron Cohen, Rachel Bernstein, Ray Kurzweil, Blaise Agüera y Arcas, Claire Cui, Marian Croak, Ed H. Chi, Quoc Le:
LaMDA: Language Models for Dialog Applications. CoRR abs/2201.08239 (2022) - 2021
- [j2]Eunsol Choi, Jennimaria Palomaki, Matthew Lamm, Tom Kwiatkowski, Dipanjan Das, Michael Collins:
Decontextualization: Making Sentences Stand-Alone. Trans. Assoc. Comput. Linguistics 9: 447-461 (2021) - [j1]Matthew Lamm, Jennimaria Palomaki, Chris Alberti, Daniel Andor, Eunsol Choi, Livio Baldini Soares, Michael Collins:
QED: A Framework and Dataset for Explanations in Question Answering. Trans. Assoc. Comput. Linguistics 9: 790-806 (2021) - [c6]Rahul Aralikatte, Matthew Lamm, Daniel Hardt, Anders Søgaard:
Ellipsis Resolution as Question Answering: An Evaluation. EACL 2021: 810-817 - [i12]Eunsol Choi, Jennimaria Palomaki, Matthew Lamm, Tom Kwiatkowski, Dipanjan Das, Michael Collins:
Decontextualization: Making Sentences Stand-Alone. CoRR abs/2102.05169 (2021) - [i11]Bhargavi Paranjape, Matthew Lamm, Ian Tenney:
Retrieval-guided Counterfactual Generation for QA. CoRR abs/2110.07596 (2021) - [i10]Hannah Rashkin, Vitaly Nikolaev, Matthew Lamm, Michael Collins, Dipanjan Das, Slav Petrov, Gaurav Singh Tomar, Iulia Turc, David Reitter:
Measuring Attribution in Natural Language Generation Models. CoRR abs/2112.12870 (2021) - 2020
- [i9]Matthew Lamm, Jennimaria Palomaki, Chris Alberti, Daniel Andor, Eunsol Choi, Livio Baldini Soares, Michael Collins:
QED: A Framework and Dataset for Explanations in Question Answering. CoRR abs/2009.06354 (2020)
2010 – 2019
- 2019
- [c5]Mitja Nikolaus
, Mostafa Abdou, Matthew Lamm, Rahul Aralikatte, Desmond Elliott
Compositional Generalization in Image Captioning. CoNLL 2019: 87-98 - [c4]Daniel Selsam, Matthew Lamm, Benedikt Bünz, Percy Liang, Leonardo de Moura, David L. Dill:
Learning a SAT Solver from Single-Bit Supervision. ICLR (Poster) 2019 - [i8]Rahul Aralikatte, Matthew Lamm, Daniel Hardt, Anders Søgaard:
Ellipsis and Coreference Resolution as Question Answering. CoRR abs/1908.11141 (2019) - [i7]Mitja Nikolaus, Mostafa Abdou, Matthew Lamm, Rahul Aralikatte, Desmond Elliott:
Compositional Generalization in Image Captioning. CoRR abs/1909.04402 (2019) - 2018
- [c3]Matthew Lamm, Arun Tejasvi Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang:
Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. EMNLP 2018: 82-92 - [i6]Daniel Selsam, Matthew Lamm, Benedikt Bünz, Percy Liang, Leonardo de Moura, David L. Dill:
Learning a SAT Solver from Single-Bit Supervision. CoRR abs/1802.03685 (2018) - [i5]Matthew Lamm, Arun Tejasvi Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang:
Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. CoRR abs/1809.02700 (2018) - 2017
- [c2]Sebastian Schuster, Matthew Lamm, Christopher D. Manning:
Gapping Constructions in Universal Dependencies v2. UDW@NoDaLiDa 2017: 123-132 - [c1]Matthew Lamm, Mihail Eric:
The Pragmatics of Indirect Commands in Collaborative Discourse. IWCS(2) 2017 - [i4]Mohamed Al-Badrashiny, Jason Bolton, Arun Tejasvi Chaganty, Kevin Clark, Craig Harman, Lifu Huang, Matthew Lamm, Jinhao Lei, Di Lu, Xiaoman Pan, Ashwin Paranjape, Ellie Pavlick, Haoruo Peng, Peng Qi, Pushpendre Rastogi, Abigail See, Kai Sun, Max Thomas, Chen-Tse Tsai, Hao Wu, Boliang Zhang, Chris Callison-Burch, Claire Cardie, Heng Ji, Christopher D. Manning, Smaranda Muresan, Owen Rambow, Dan Roth, Mark Sammons, Benjamin Van Durme:
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. TAC 2017 - [i3]Arun Tejasvi Chaganty, Ashwin Paranjape, Jason Bolton, Matthew Lamm, Jinhao Lei, Abigail See, Kevin Clark, Yuhao Zhang, Peng Qi
Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph. TAC 2017 - [i2]Benedikt Bünz, Matthew Lamm:
Graph Neural Networks and Boolean Satisfiability. CoRR abs/1702.03592 (2017) - [i1]Matthew Lamm, Mihail Eric:
The Pragmatics of Indirect Commands in Collaborative Discourse. CoRR abs/1705.03454 (2017)
Coauthor Index
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