Kyle Richardson
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
11
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | TinyScientist: An Interactive, Extensible, and Controllable Framework for Building Research Agents. | Haofei Yu, Keyang Xuan, Fenghai Li, Kunlun Zhu, Zijie Lei, Jiaxun Zhang, Ziheng Qi, Kyle Richardson, Jiaxuan You |
| 2025 | ICML | Understanding the Logic of Direct Preference Alignment through Logic. | Kyle Richardson, Vivek Srikumar, Ashish Sabharwal |
| 2025 | ICML | ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning. | Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, Ashish Sabharwal, Radha Poovendran, Peter Clark, Yejin Choi |
| 2025 | NAACL | SELFGOAL: Your Language Agents Already Know How to Achieve High-level Goals. | Ruihan Yang, Jiangjie Chen, Yikai Zhang, Siyu Yuan, Aili Chen, Kyle Richardson, Yanghua Xiao, Deqing Yang |
| 2024 | ACL | OLMo: Accelerating the Science of Language Models. | 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 |
| 2024 | ACL | Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. | 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 |
| 2024 | ACL | TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation. | Yikai Zhang, Siyu Yuan, Caiyu Hu, Kyle Richardson, Yanghua Xiao, Jiangjie Chen |
| 2024 | EMNLP | Event Causality Identification with Synthetic Control. | Haoyu Wang, Fengze Liu, Jiayao Zhang, Dan Roth, Kyle Richardson |
| 2024 | EMNLP | SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories. | Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot |
| 2023 | ACL | DISCO: Distilling Counterfactuals with Large Language Models. | Zeming Chen, Qiyue Gao, Antoine Bosselut, Ashish Sabharwal, Kyle Richardson |
| 2023 | EMNLP | Language Models with Rationality. | Nora Kassner, Oyvind Tafjord, Ashish Sabharwal, Kyle Richardson, Hinrich Schtze, Peter Clark |
| 2023 | ICLR | Decomposed Prompting: A Modular Approach for Solving Complex Tasks. | Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal |
| 2022 | AAAI | Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability. | Kyle Richardson, Ashish Sabharwal |
| 2022 | ACL | Hey AI, Can You Solve Complex Tasks by Talking to Agents? | Tushar Khot, Kyle Richardson, Daniel Khashabi, Ashish Sabharwal |
| 2022 | EMNLP | Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs. | Kyle Richardson, Ronen Tamari, Oren Sultan, Dafna Shahaf, Reut Tsarfaty, Ashish Sabharwal |
| 2022 | EMNLP | What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment. | Matthew Finlayson, Kyle Richardson, Ashish Sabharwal, Peter Clark |
| 2022 | EMNLP | Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts. | Ben Zhou, Kyle Richardson, Xiaodong Yu, Dan Roth |
| 2022 | NAACL | Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. | Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi |
| 2021 | ACL | Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference. | Hai Hu, He Zhou, Zuoyu Tian, Yiwen Zhang, Yina Patterson, Yanting Li, Yixin Nie, Kyle Richardson |
| 2021 | NAACL | Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models. | Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal |
| 2021 | NAACL | Temporal Reasoning on Implicit Events from Distant Supervision. | Ben Zhou, Kyle Richardson, Qiang Ning, Tushar Khot, Ashish Sabharwal, Dan Roth |
| 2020 | AAAI | Probing Natural Language Inference Models through Semantic Fragments. | Kyle Richardson, Hai Hu, Lawrence S. Moss, Ashish Sabharwal |
| 2020 | COLING | CLUE: A Chinese Language Understanding Evaluation Benchmark. | Liang Xu, Hai Hu, Xuanwei Zhang, Lu Li, Chenjie Cao, Yudong Li, Yechen Xu, Kai Sun, Dian Yu, Cong Yu, Yin Tian, Qianqian Dong, Weitang Liu, Bo Shi, Yiming Cui, Junyi Li, Jun Zeng, Rongzhao Wang, Weijian Xie, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Shaoweihua Liu, Zhe Zhao, Qipeng Zhao, Cong Yue, Xinrui Zhang, Zhengliang Yang, Kyle Richardson, Zhenzhong Lan |
| 2020 | EMNLP | OCNLI: Original Chinese Natural Language Inference. | Hai Hu, Kyle Richardson, Liang Xu, Lu Li, Sandra Kbler, Lawrence S. Moss |
| 2020 | EMNLP | A Dataset for Tracking Entities in Open Domain Procedural Text. | Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard H. Hovy |
| 2020 | IJCAI | Transformers as Soft Reasoners over Language. | Peter Clark, Oyvind Tafjord, Kyle Richardson |
| 2018 | NAACL | Polyglot Semantic Parsing in APIs. | Kyle Richardson, Jonathan Berant, Jonas Kuhn |
| 2017 | ACL | Learning Semantic Correspondences in Technical Documentation. | Kyle Richardson, Jonas Kuhn |
| 2017 | EMNLP | Function Assistant: A Tool for NL Querying of APIs. | Kyle Richardson, Jonas Kuhn |
| 2017 | INLG | The Code2Text Challenge: Text Generation in Source Libraries. | Kyle Richardson, Sina Zarrie, Jonas Kuhn |
| 2014 | LREC | UnixMan Corpus: A Resource for Language Learning in the Unix Domain. | Kyle Richardson, Jonas Kuhn |
| 2012 | COLING | Light Textual Inference for Semantic Parsing. | Kyle Richardson, Jonas Kuhn |
| 2011 | IUI | Deducing answers to english questions from structured data. | Daniel G. Bobrow, Cleo Condoravdi, Kyle Richardson, Richard J. Waldinger, Amar Das |