Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification. - Tom Kwiatkowski; Luke Zettlemoyer; Sharon Goldwater; Mark Steedman (EMNLP, 2010)

Lexical Generalization in CCG Grammar Induction for Semantic Parsing. - Tom Kwiatkowski; Luke Zettlemoyer; Sharon Goldwater; Mark Steedman (EMNLP, 2011)

A Probabilistic Model of Syntactic and Semantic Acquisition from Child-Directed Utterances and their Meanings. - Tom Kwiatkowski; Sharon Goldwater; Luke Zettlemoyer; Mark Steedman (EACL, 2012)

Using syntactic and confusion network structure for out-of-vocabulary word detection. - Alex Marin; Tom Kwiatkowski; Mari Ostendorf; Luke Zettlemoyer (SLT, 2012)

Scaling Semantic Parsers with On-the-Fly Ontology Matching. - Tom Kwiatkowski; Eunsol Choi; Yoav Artzi; Luke Zettlemoyer (EMNLP, 2013)

"Can you give me another word for hyperbaric?": Improving speech translation using targeted clarification questions. - Necip Fazil Ayan; Arindam Mandal; Michael W. Frandsen; Jing Zheng 001; Peter Blasco; Andreas Kathol; Frédéric Béchet; Benoît Favre; Alex Marin; Tom Kwiatkowski; Mari Ostendorf; Luke Zettlemoyer; et al. (ICASSP, 2013)

Morpho-syntactic Lexical Generalization for CCG Semantic Parsing. - Adrienne X. Wang; Tom Kwiatkowski; Luke Zettlemoyer (EMNLP, 2014)

Scalable Semantic Parsing with Partial Ontologies. - Eunsol Choi; Tom Kwiatkowski; Luke Zettlemoyer (ACL (1), 2015)

Learning Recurrent Span Representations for Extractive Question Answering. - Kenton Lee; Tom Kwiatkowski; Ankur P. Parikh; Dipanjan Das 001 (CoRR, 2016)

Transforming Dependency Structures to Logical Forms for Semantic Parsing. - Siva Reddy; Oscar Täckström; Michael Collins 001; Tom Kwiatkowski; Dipanjan Das 001; Mark Steedman; Mirella Lapata (Trans. Assoc. Comput. Linguistics, 2016)

Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension. - Min Joon Seo; Tom Kwiatkowski; Ankur P. Parikh; Ali Farhadi; Hannaneh Hajishirzi (EMNLP, 2018)

Multi-Mention Learning for Reading Comprehension with Neural Cascades. - Swabha Swayamdipta; Ankur P. Parikh; Tom Kwiatkowski (ICLR (Poster), 2018)

Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index. - Min Joon Seo; Jinhyuk Lee; Tom Kwiatkowski; Ankur P. Parikh; Ali Farhadi; Hannaneh Hajishirzi (ACL (1), 2019)

Matching the Blanks: Distributional Similarity for Relation Learning. - Livio Baldini Soares; Nicholas FitzGerald; Jeffrey Ling; Tom Kwiatkowski (ACL (1), 2019)

BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. - Christopher Clark; Kenton Lee; Ming-Wei Chang; Tom Kwiatkowski; Michael Collins 001; Kristina Toutanova (NAACL-HLT (1), 2019)

Incremental Reading for Question Answering. - Samira Abnar; Tania Bedrax-Weiss; Tom Kwiatkowski; William W. Cohen (CoRR, 2019)

Natural Questions: a Benchmark for Question Answering Research. - Tom Kwiatkowski; Jennimaria Palomaki; Olivia Redfield; Michael Collins 001; Ankur P. Parikh; Chris Alberti; Danielle Epstein; Illia Polosukhin; Jacob Devlin; Kenton Lee; Kristina Toutanova; Llion Jones; et al. (Trans. Assoc. Comput. Linguistics, 2019)

Inherent Disagreements in Human Textual Inferences. - Ellie Pavlick; Tom Kwiatkowski (Trans. Assoc. Comput. Linguistics, 2019)

Empirical Evaluation of Pretraining Strategies for Supervised Entity Linking. - Thibault Févry; Nicholas FitzGerald; Livio Baldini Soares; Tom Kwiatkowski (AKBC, 2020)

Entities as Experts: Sparse Memory Access with Entity Supervision. - Thibault Févry; Livio Baldini Soares; Nicholas FitzGerald; Eunsol Choi; Tom Kwiatkowski (EMNLP (1), 2020)

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. - Sewon Min; Jordan L. Boyd-Graber; Chris Alberti; Danqi Chen 001; Eunsol Choi; Michael Collins 001; Kelvin Guu; Hannaneh Hajishirzi; Kenton Lee; Jennimaria Palomaki; Colin Raffel; Adam Roberts; et al. (NeurIPS (Competition and Demos), 2020)

Learning Cross-Context Entity Representations from Text. - Jeffrey Ling; Nicholas FitzGerald; Zifei Shan; Livio Baldini Soares; Thibault Févry; David Weiss 001; Tom Kwiatkowski (CoRR, 2020)

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages. - Jonathan H. Clark; Jennimaria Palomaki; Vitaly Nikolaev; Eunsol Choi; Dan Garrette; Michael Collins 001; Tom Kwiatkowski (Trans. Assoc. Comput. Linguistics, 2020)

MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network. - Nicholas FitzGerald; Daniel M. Bikel; Jan A. Botha; Daniel Gillick; Tom Kwiatkowski; Andrew McCallum (ACL/IJCNLP (2), 2021)

Decontextualization: Making Sentences Stand-Alone. - Eunsol Choi; Jennimaria Palomaki; Matthew Lamm; Tom Kwiatkowski; Dipanjan Das 001; Michael Collins 001 (Trans. Assoc. Comput. Linguistics, 2021)

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. - Bernd Bohnet; Vinh Q. Tran 002; Pat Verga; Roee Aharoni; Daniel Andor; Livio Baldini Soares; Jacob Eisenstein; Kuzman Ganchev; Jonathan Herzig; Kai Hui 001; Tom Kwiatkowski; Ji Ma 004; et al. (CoRR, 2022)

1-PAGER: One Pass Answer Generation and Evidence Retrieval. - Palak Jain 006; Livio Soares; Tom Kwiatkowski (EMNLP (Findings), 2023)

Evaluating and Modeling Attribution for Cross-Lingual Question Answering. - Benjamin Muller; John Wieting; Jonathan H. Clark; Tom Kwiatkowski; Sebastian Ruder; Livio Soares; Roee Aharoni; Jonathan Herzig; Xinyi Wang 001 (EMNLP, 2023)

NAIL: Lexical Retrieval Indices with Efficient Non-Autoregressive Decoders. - Livio Soares; Daniel Gillick; Jeremy R. Cole; Tom Kwiatkowski (EMNLP, 2023)

From RAG to Riches: Retrieval Interlaced with Sequence Generation. - Palak Jain 006; Livio Baldini Soares; Tom Kwiatkowski (EMNLP, 2024)