I am a PhD student at the Blavatnik School of Computer Science of Tel Aviv University. My PhD advisors are Prof. Daniel Deutch and Prof. Jonathan Berant. I am also serving as a research intern at the Allen Institute for AI.
My area of research lies at the intersection of Data Management and Natural Language Processing. I am interested in developing algorithms that are capable of understanding complex questions over a multitude of domains, and to endow them with an ability to justify and explain their results.
Prior to my PhD, I received my BSc and MSc in computer science at Tel Aviv University, under the supervision of Prof. Daniel Deutch.
Answering Questions by Meta-Reasoning over Multiple Chains of Thought.
Ori Yoran*, Tomer Wolfson*, Ben Bogin, Uri Katz, Daniel Deutch and Jonathan Berant.
Empirical Methods in Natural Language Processing (EMNLP) 2023, in press.
QAMPARI: An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple Paragraphs.
Samuel Joseph Amouyal, Tomer Wolfson, Ohad Rubin, Ori Yoran, Jonathan Herzig and Jonathan Berant. Third Workshop on Generation, Evaluation & Metrics (GEM), at EMNLP 2023, in press.
Weakly Supervised Text-to-SQL Parsing through Question Decomposition.
Tomer Wolfson, Daniel Deutch and Jonathan Berant.
Findings of the North American Chapter of the Association for Computational Linguistics (NAACL) 2022, pages 2528-2542.
Break, Perturb, Build: Automatic Perturbation of Reasoning Paths through Question Decomposition.
Mor Geva, Tomer Wolfson, and Jonathan Berant.
Volume 10 of the Transactions of the Association for Computational Linguistics (TACL) 2022, pages 111-126.
Obtaining Faithful Interpretations from Compositional Neural Networks.
Sanjay Subramanian*, Ben Bogin*, Nitish Gupta*, Tomer Wolfson, Sameer Singh, Jonathan Berant and Matt Gardner.
Association for Computational Linguistics (ACL) 2020, pages 5594-5608.
Break It Down: A Question Understanding Benchmark.
Tomer Wolfson, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch and Jonathan Berant.
Volume 8 of the Transactions of the Association for Computational Linguistics (TACL) 2020, pages 183-198.
Explaining Queries over Web Tables to Non-Experts.
Jonathan Berant, Daniel Deutch, Amir Globerson, Tova Milo and Tomer Wolfson*.
IEEE 35th International Conference on Data Engineering (ICDE) 2019, pages 1570-1573.
Tel Aviv University.
Lecturer (2021 - 2022).
Lecturer of the course “Web Data Management & Information Retrieval”. Developed slides and class projects on natural language processing, information retrieval, information extraction and ontology building.
Teaching Assistant (2018 - 2020).
Taught recitations of the “Web Data Management” course under Prof. Daniel Deutch. Developed slides and projects on natural language processing, information extraction and ontology building.