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Kyle Richardson 0001
Kyle D. Richardson
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- affiliation: Allen Institute for AI, Seattle, WA, USA
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2020 – today
- 2024
- [c36]Yikai Zhang, Siyu Yuan, Caiyu Hu, Kyle Richardson, Yanghua Xiao, Jiangjie Chen:
TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation. ACL (1) 2024: 3894-3916 - [c35]Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Evan Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo:
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. ACL (1) 2024: 15725-15788 - [c34]Dirk Groeneveld, Iz Beltagy, Evan Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi:
OLMo: Accelerating the Science of Language Models. ACL (1) 2024: 15789-15809 - [c33]Haoyu Wang, Fengze Liu, Jiayao Zhang, Dan Roth, Kyle Richardson:
Event Causality Identification with Synthetic Control. EMNLP 2024: 1725-1737 - [c32]Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot:
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories. EMNLP 2024: 12622-12645 - [i39]Luca Soldaini, Rodney Kinney, Akshita Bhagia
, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo:
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. CoRR abs/2402.00159 (2024) - [i38]Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia
OLMo: Accelerating the Science of Language Models. CoRR abs/2402.00838 (2024) - [i37]Yikai Zhang, Siyu Yuan, Caiyu Hu, Kyle Richardson, Yanghua Xiao, Jiangjie Chen:
TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation. CoRR abs/2402.05733 (2024) - [i36]Ruihan Yang, Jiangjie Chen, Yikai Zhang, Siyu Yuan, Aili Chen, Kyle Richardson, Yanghua Xiao, Deqing Yang:
SelfGoal: Your Language Agents Already Know How to Achieve High-level Goals. CoRR abs/2406.04784 (2024) - [i35]Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle D. Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot:
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories. CoRR abs/2409.07440 (2024) - 2023
- [j5]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 2023 (2023) - [c31]Zeming Chen
DISCO: Distilling Counterfactuals with Large Language Models. ACL (1) 2023: 5514-5528 - [c30]Nora Kassner, Oyvind Tafjord, Ashish Sabharwal, Kyle Richardson, Hinrich Schütze, Peter Clark:
Language Models with Rationality. EMNLP 2023: 14190-14201 - [c29]Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal:
Decomposed Prompting: A Modular Approach for Solving Complex Tasks. ICLR 2023 - [i34]Nora Kassner, Oyvind Tafjord, Ashish Sabharwal, Kyle Richardson, Hinrich Schütze, Peter Clark:
Language Models with Rationality. CoRR abs/2305.14250 (2023) - [i33]Jiangjie Chen, Siyu Yuan, Rong Ye, Bodhisattwa Prasad Majumder, Kyle Richardson:
Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena. CoRR abs/2310.05746 (2023) - [i32]Dirk Groeneveld, Anas Awadalla, Iz Beltagy, Akshita Bhagia
Catwalk: A Unified Language Model Evaluation Framework for Many Datasets. CoRR abs/2312.10253 (2023) - [i31]Ian Magnusson, Akshita Bhagia
Paloma: A Benchmark for Evaluating Language Model Fit. CoRR abs/2312.10523 (2023) - 2022
- [j4]Gregor Betz
Judgment aggregation, discursive dilemma and reflective equilibrium: Neural language models as self-improving doxastic agents. Frontiers Artif. Intell. 5 (2022) - [c28]Kyle Richardson, Ashish Sabharwal:
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability. AAAI 2022: 11209-11219 - [c27]Tushar Khot, Kyle Richardson, Daniel Khashabi, Ashish Sabharwal:
Hey AI, Can You Solve Complex Tasks by Talking to Agents? ACL (Findings) 2022: 1808-1823 - [c26]Matthew Finlayson, Kyle Richardson, Ashish Sabharwal, Peter Clark:
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment. EMNLP 2022: 414-426 - [c25]Ben Zhou, Kyle Richardson, Xiaodong Yu, Dan Roth:
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts. EMNLP 2022: 2223-2235 - [c24]Kyle Richardson, Ronen Tamari, Oren Sultan, Dafna Shahaf, Reut Tsarfaty, Ashish Sabharwal:
Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs. EMNLP 2022: 9703-9719 - [c23]Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi:
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. NAACL-HLT 2022: 3631-3643 - [c22]Gregor Betz, Kyle Richardson:
DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models. *SEM@NAACL-HLT 2022: 12-27 - [c21]Ronen Tamari
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking. *SEM@NAACL-HLT 2022: 101-122 - [i30]Matthew Finlayson, Kyle Richardson, Ashish Sabharwal, Peter Clark:
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment. CoRR abs/2204.09148 (2022) - [i29]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - [i28]Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal:
Decomposed Prompting: A Modular Approach for Solving Complex Tasks. CoRR abs/2210.02406 (2022) - [i27]Ben Zhou, Kyle Richardson, Xiaodong Yu, Dan Roth:
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts. CoRR abs/2210.16865 (2022) - [i26]Kyle Richardson, Ronen Tamari, Oren Sultan, Reut Tsarfaty, Dafna Shahaf, Ashish Sabharwal:
Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs. CoRR abs/2211.07950 (2022) - [i25]Zeming Chen, Qiyue Gao, Kyle Richardson, Antoine Bosselut, Ashish Sabharwal:
DISCO: Distilling Phrasal Counterfactuals with Large Language Models. CoRR abs/2212.10534 (2022) - 2021
- [c20]Hai Hu, He Zhou, Zuoyu Tian, Yiwen Zhang, Yina Patterson, Yanting Li, Yixin Nie, Kyle Richardson:
Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference. ACL/IJCNLP (Findings) 2021: 3770-3785 - [c19]Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal:
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models. NAACL-HLT 2021: 1264-1279 - [c18]Ben Zhou, Kyle Richardson, Qiang Ning, Tushar Khot, Ashish Sabharwal, Dan Roth:
Temporal Reasoning on Implicit Events from Distant Supervision. NAACL-HLT 2021: 1361-1371 - [i24]Sumithra Bhakthavatsalam, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Peter Clark:
Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge. CoRR abs/2102.03315 (2021) - [i23]Gregor Betz, Kyle Richardson, Christian Voigt:
Thinking Aloud: Dynamic Context Generation Improves Zero-Shot Reasoning Performance of GPT-2. CoRR abs/2103.13033 (2021) - [i22]Hai Hu, He Zhou, Zuoyu Tian, Yiwen Zhang, Yina Ma, Yanting Li, Yixin Nie, Kyle Richardson:
Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference. CoRR abs/2106.03983 (2021) - [i21]Gregor Betz, Kyle Richardson:
DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models. CoRR abs/2110.01509 (2021) - [i20]Tushar Khot, Kyle Richardson, Daniel Khashabi, Ashish Sabharwal:
Learning to Solve Complex Tasks by Talking to Agents. CoRR abs/2110.08542 (2021) - [i19]Ronen Tamari, Kyle Richardson, Aviad Sar-Shalom, Noam Kahlon, Nelson F. Liu, Reut Tsarfaty, Dafna Shahaf:
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking. CoRR abs/2112.00086 (2021) - [i18]Daniel Khashabi, Shane Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sameer Singh, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Yejin Choi:
PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts. CoRR abs/2112.08348 (2021) - [i17]Kyle Richardson, Ashish Sabharwal:
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability. CoRR abs/2112.09054 (2021) - 2020
- [j3]Peter Clark, Oren Etzioni, Tushar Khot, Daniel Khashabi, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project. AI Mag. 41(4): 39-53 (2020) - [j2]Kyle Richardson, Ashish Sabharwal:
What Does My QA Model Know? Devising Controlled Probes using Expert. Trans. Assoc. Comput. Linguistics 8: 572-588 (2020) - [c17]Kyle Richardson, Hai Hu, Lawrence S. Moss, Ashish Sabharwal:
Probing Natural Language Inference Models through Semantic Fragments. AAAI 2020: 8713-8721 - [c16]Atticus Geiger, Kyle Richardson, Christopher Potts:
Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation. BlackboxNLP@EMNLP 2020: 163-173 - [c15]Liang Xu, Hai Hu, Xuanwei Zhang, Lu Li, Chenjie Cao, Yudong Li
CLUE: A Chinese Language Understanding Evaluation Benchmark. COLING 2020: 4762-4772 - [c14]Hai Hu, Kyle Richardson, Liang Xu, Lu Li, Sandra Kübler, Lawrence S. Moss:
OCNLI: Original Chinese Natural Language Inference. EMNLP (Findings) 2020: 3512-3526 - [c13]Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard H. Hovy:
A Dataset for Tracking Entities in Open Domain Procedural Text. EMNLP (1) 2020: 6408-6417 - [c12]Peter Clark, Oyvind Tafjord, Kyle Richardson:
Transformers as Soft Reasoners over Language. IJCAI 2020: 3882-3890 - [i16]Peter Clark, Oyvind Tafjord, Kyle Richardson:
Transformers as Soft Reasoners over Language. CoRR abs/2002.05867 (2020) - [i15]Atticus Geiger, Kyle Richardson, Christopher Potts:
Modular Representation Underlies Systematic Generalization in Neural Natural Language Inference Models. CoRR abs/2004.14623 (2020) - [i14]Sumithra Bhakthavatsalam, Kyle Richardson, Niket Tandon, Peter Clark:
Do Dogs have Whiskers? A New Knowledge Base of hasPart Relations. CoRR abs/2006.07510 (2020) - [i13]Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal:
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models. CoRR abs/2009.00751 (2020) - [i12]Hai Hu, Kyle Richardson, Liang Xu, Lu Li, Sandra Kübler, Lawrence S. Moss:
OCNLI: Original Chinese Natural Language Inference. CoRR abs/2010.05444 (2020) - [i11]Ben Zhou, Kyle Richardson, Qiang Ning, Tushar Khot, Ashish Sabharwal, Dan Roth:
Temporal Reasoning on Implicit Events from Distant Supervision. CoRR abs/2010.12753 (2020) - [i10]Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi Mishra, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard H. Hovy:
A Dataset for Tracking Entities in Open Domain Procedural Text. CoRR abs/2011.08092 (2020)
2010 – 2019
- 2019
- [i9]Peter Clark, Oren Etzioni, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld, Michal Guerquin, Michael Schmitz:
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project. CoRR abs/1909.01958 (2019) - [i8]Kyle Richardson, Hai Hu, Lawrence S. Moss, Ashish Sabharwal:
Probing Natural Language Inference Models through Semantic Fragments. CoRR abs/1909.07521 (2019) - [i7]Hai Hu, Qi Chen, Kyle Richardson, Atreyee Mukherjee, Lawrence S. Moss, Sandra Kübler:
MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity. CoRR abs/1910.08772 (2019) - [i6]Kyle Richardson, Ashish Sabharwal:
What Does My QA Model Know? Devising Controlled Probes using Expert Knowledge. CoRR abs/1912.13337 (2019) - 2018
- [b1]Kyle Richardson:
New resources and ideas for semantic parser induction. University of Stuttgart, Germany, 2018 - [c11]Kyle Richardson, Jonathan Berant, Jonas Kuhn:
Polyglot Semantic Parsing in APIs. NAACL-HLT 2018: 720-730 - [i5]Kyle Richardson, Jonathan Berant, Jonas Kuhn:
Polyglot Semantic Parsing in APIs. CoRR abs/1803.06966 (2018) - [i4]Kyle Richardson:
A Language for Function Signature Representations. CoRR abs/1804.00987 (2018) - 2017
- [c10]Kyle Richardson, Jonas Kuhn:
Learning Semantic Correspondences in Technical Documentation. ACL (1) 2017: 1612-1622 - [c9]Kyle Richardson, Jonas Kuhn:
Function Assistant: A Tool for NL Querying of APIs. EMNLP (System Demonstrations) 2017: 67-72 - [c8]Kyle Richardson, Sina Zarrieß, Jonas Kuhn:
The Code2Text Challenge: Text Generation in Source Libraries. INLG 2017: 115-119 - [i3]Kyle Richardson, Jonas Kuhn:
Learning Semantic Correspondences in Technical Documentation. CoRR abs/1705.04815 (2017) - [i2]Kyle Richardson, Jonas Kuhn:
Function Assistant: A Tool for NL Querying of APIs. CoRR abs/1706.00468 (2017) - [i1]Kyle Richardson, Sina Zarrieß, Jonas Kuhn:
The Code2Text Challenge: Text Generation in Source Code Libraries. CoRR abs/1708.00098 (2017) - 2016
- [j1]Kyle D. Richardson, Jonas Kuhn:
Learning to Make Inferences in a Semantic Parsing Task. Trans. Assoc. Comput. Linguistics 4: 155-168 (2016) - 2015
- [c7]Cleo Condoravdi, Kyle Richardson, Vishal Sikka, Asuman Suenbuel, Richard Waldinger:
Natural Language Access to Data: It Takes Common Sense! AAAI Spring Symposia 2015 - 2014
- [c6]Kyle Richardson, Jonas Kuhn:
UnixMan Corpus: A Resource for Language Learning in the Unix Domain. LREC 2014: 2985-2989 - 2013
- [c5]Sina Zarrieß, Kyle Richardson:
An Automatic Method for Building a Data-to-Text Generator. ENLG 2013: 202-203 - 2012
- [c4]Kyle Richardson, Jonas Kuhn:
Light Textual Inference for Semantic Parsing. COLING (Posters) 2012: 1007-1018 - 2011
- [c3]Richard J. Waldinger, Daniel G. Bobrow, Cleo Condoravdi, Kyle Richardson, Amar Das:
Accessing Structured Health Information through English Queries and Automatic Deduction. AAAI Spring Symposium: AI and Health Communication 2011 - [c2]Daniel G. Bobrow, Cleo Condoravdi, Kyle Richardson, Richard J. Waldinger, Amar Das:
Deducing answers to english questions from structured data. IUI 2011: 299-302 - [c1]Kyle Richardson, Daniel G. Bobrow, Cleo Condoravdi, Richard J. Waldinger, Amar Das:
English Access to Structured Data. ICSC 2011: 13-20
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from .
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last updated on 2024-11-15 20:41 CET by the dblp team
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