Michael Collins
Michael Collins's research interests are in natural language processing and machine learning, with a focus on problems such as statistical parsing, structured prediction problems in machine learning, and applications including machine translation, dialog systems, and speech recognition. Michael is a fellow of the Association for Computational Linguistics, and has received various awards including a Sloan fellowship, an NSF Career award, as well as best paper awards at EMNLP (2002, 2004 and 2010), UAI (2004 and 2005), and CONLL (2008).
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A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains
Alon Jacovi
Or Honovich
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (2024), pp. 4615–4634
Measuring Attribution in Natural Language Generation Models
Iulia Turc
Computational Linguistics, 49 (2023), pp. 777-840
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation
Yao Zhao
Mirella Lapata
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), Association for Computational Linguistics, pp. 21
Query Refinement Prompts for Closed-Book Long-Form Question Answering
Reinald Kim Amplayo
arXiv submission (2022)
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models
Pat Verga
Jianmo Ni
arXiv (2022)
Evaluating Explanations: How much do explanations from teachers aid students?
Danish Pruthi
Rachit Bansal
Bhuwan Dhingra
Zachary Chase Lipton
Graham Neubig
Transactions of the Association for Computational Linguistics (TACL) (2021)
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
Eunsol Choi
Transactions of the Association for Computational Linguistics (2020)
