TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation ACL

Yikai Zhang | Siyu Yuan | Caiyu Hu | Kyle Richardson | Yanghua Xiao | Jiangjie Chen |

OLMo: Accelerating the Science of Language Models ACL

Dirk Groeneveld | Iz Beltagy | Evan Walsh | Akshita Bhagia | Rodney Kinney | Oyvind Tafjord | Ananya Jha | Hamish Ivison | Ian Magnusson | Yizhong Wang | Shane Arora | David Atkinson | Russell Authur | Khyathi Chandu | Arman Cohan | Jennifer Dumas | Yanai Elazar | Yuling Gu | Jack Hessel | Tushar Khot | William Merrill | Jacob Morrison | Niklas Muennighoff | Aakanksha Naik | Crystal Nam | Matthew Peters | Valentina Pyatkin | Abhilasha Ravichander | Dustin Schwenk | Saurabh Shah | William Smith | Emma Strubell | Nishant Subramani | Mitchell Wortsman | Pradeep Dasigi | Nathan Lambert | Kyle Richardson | Luke Zettlemoyer | Jesse Dodge | Kyle Lo | Luca Soldaini | Noah Smith | Hannaneh Hajishirzi |

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research ACL

Luca Soldaini | Rodney Kinney | Akshita Bhagia | Dustin Schwenk | David Atkinson | Russell Authur | Ben Bogin | Khyathi Chandu | Jennifer Dumas | Yanai Elazar | Valentin Hofmann | Ananya Jha | Sachin Kumar | Li Lucy | Xinxi Lyu | Nathan Lambert | Ian Magnusson | Jacob Morrison | Niklas Muennighoff | Aakanksha Naik | Crystal Nam | Matthew Peters | Abhilasha Ravichander | Kyle Richardson | Zejiang Shen | Emma Strubell | Nishant Subramani | Oyvind Tafjord | Evan Walsh | Luke Zettlemoyer | Noah Smith | Hannaneh Hajishirzi | Iz Beltagy | Dirk Groeneveld | Jesse Dodge | Kyle Lo |

Event Causality Identification with Synthetic Control EMNLP

Haoyu Wang | Fengze Liu | Jiayao Zhang | Dan Roth | Kyle Richardson |

SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories EMNLP

Ben Bogin | Kejuan Yang | Shashank Gupta | Kyle Richardson | Erin Bransom | Peter Clark | Ashish Sabharwal | Tushar Khot |

DISCO: Distilling Counterfactuals with Large Language Models ACL

Zeming Chen | Qiyue Gao | Antoine Bosselut | Ashish Sabharwal | Kyle Richardson |

Language Models with Rationality EMNLP

Nora Kassner | Oyvind Tafjord | Ashish Sabharwal | Kyle Richardson | Hinrich Schuetze | Peter Clark |

Hey AI, Can You Solve Complex Tasks by Talking to Agents? ACL Findings

Tushar Khot | Kyle Richardson | Daniel Khashabi | Ashish Sabharwal |

DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models *SEM NAACL

Gregor Betz | Kyle Richardson |

Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts NAACL

Daniel Khashabi | Xinxi Lyu | Sewon Min | Lianhui Qin | Kyle Richardson | Sean Welleck | Hannaneh Hajishirzi | Tushar Khot | Ashish Sabharwal | Sameer Singh | Yejin Choi |

Dyna-bAbI: unlocking bAbI’s potential with dynamic synthetic benchmarking *SEM NAACL

Ronen Tamari | Kyle Richardson | Noam Kahlon | Aviad Sar-shalom | Nelson F. Liu | Reut Tsarfaty | Dafna Shahaf |

Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts EMNLP

Ben Zhou | Kyle Richardson | Xiaodong Yu | Dan Roth |

What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment EMNLP

Matthew Finlayson | Kyle Richardson | Ashish Sabharwal | Peter Clark |

Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs EMNLP

Kyle Richardson | Ronen Tamari | Oren Sultan | Dafna Shahaf | Reut Tsarfaty | Ashish Sabharwal |

Temporal Reasoning on Implicit Events from Distant Supervision NAACL

Ben Zhou | Kyle Richardson | Qiang Ning | Tushar Khot | Ashish Sabharwal | Dan Roth |

Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models NAACL

Tushar Khot | Daniel Khashabi | Kyle Richardson | Peter Clark | Ashish Sabharwal |

Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference Findings

Hai Hu | He Zhou | Zuoyu Tian | Yiwen Zhang | Yina Patterson | Yanting Li | Yixin Nie | Kyle Richardson |

Critical Thinking for Language Models IWCS

Gregor Betz | Christian Voigt | Kyle Richardson |

CLUE: A Chinese Language Understanding Evaluation Benchmark COLING

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 |

A Dataset for Tracking Entities in Open Domain Procedural Text EMNLP

Niket Tandon | Keisuke Sakaguchi | Bhavana Dalvi | Dheeraj Rajagopal | Peter Clark | Michal Guerquin | Kyle Richardson | Eduard Hovy |

OCNLI: Original Chinese Natural Language Inference EMNLP Findings

Hai Hu | Kyle Richardson | Liang Xu | Lu Li | Sandra Kübler | Lawrence Moss |

Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and Negation BlackboxNLP EMNLP

Atticus Geiger | Kyle Richardson | Christopher Potts |

What Does My QA Model Know? Devising Controlled Probes Using Expert Knowledge TACL

Kyle Richardson | Ashish Sabharwal |

Polyglot Semantic Parsing in APIs NAACL

Kyle Richardson | Jonathan Berant | Jonas Kuhn |

Function Assistant: A Tool for NL Querying of APIs EMNLP

Kyle Richardson | Jonas Kuhn |

Learning Semantic Correspondences in Technical Documentation ACL

Kyle Richardson | Jonas Kuhn |

The Code2Text Challenge: Text Generation in Source Libraries INLG WS

Kyle Richardson | Sina Zarrieß | Jonas Kuhn |

Learning to Make Inferences in a Semantic Parsing Task TACL

Kyle Richardson | Jonas Kuhn |

UnixMan Corpus: A Resource for Language Learning in the Unix Domain LREC

Kyle Richardson | Jonas Kuhn |

An Automatic Method for Building a Data-to-Text Generator WS

Sina Zarriess | Kyle Richardson |

Light Textual Inference for Semantic Parsing COLING

Kyle Richardson | Jonas Kuhn |