Explaining Queries Over Web Tables to Non-experts. - Jonathan Berant; Daniel Deutch; Amir Globerson; Tova Milo; Tomer Wolfson (ICDE, 2019)

Obtaining Faithful Interpretations from Compositional Neural Networks. - Sanjay Subramanian; Ben Bogin; Nitish Gupta; Tomer Wolfson; Sameer Singh 001; Jonathan Berant; Matt Gardner 001 (ACL, 2020)

Break It Down: A Question Understanding Benchmark. - Tomer Wolfson; Mor Geva; Ankit Gupta 001; Yoav Goldberg; Matt Gardner 001; Daniel Deutch; Jonathan Berant (Trans. Assoc. Comput. Linguistics, 2020)

Weakly Supervised Mapping of Natural Language to SQL through Question Decomposition. - Tomer Wolfson; Jonathan Berant; Daniel Deutch (CoRR, 2021)

Weakly Supervised Text-to-SQL Parsing through Question Decomposition. - Tomer Wolfson; Daniel Deutch; Jonathan Berant (NAACL-HLT (Findings), 2022)

QAMPARI: : An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple Paragraphs. - Samuel Joseph Amouyal; Ohad Rubin; Ori Yoran; Tomer Wolfson; Jonathan Herzig; Jonathan Berant (CoRR, 2022)

Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition. - Mor Geva; Tomer Wolfson; Jonathan Berant (Trans. Assoc. Comput. Linguistics, 2022)

Answering Questions by Meta-Reasoning over Multiple Chains of Thought. - Ori Yoran; Tomer Wolfson; Ben Bogin; Uri Katz; Daniel Deutch; Jonathan Berant (EMNLP, 2023)

Making Retrieval-Augmented Language Models Robust to Irrelevant Context. - Ori Yoran; Tomer Wolfson; Ori Ram; Jonathan Berant (ICLR, 2024)

Generating Tables from the Parametric Knowledge of Language Models. - Yevgeni Berkovitch; Oren Glickman; Amit Somech; Tomer Wolfson (CoRR, 2024)

LINX: A Language Driven Generative System for Goal-Oriented Automated Data Exploration. - Tavor Lipman; Tova Milo; Amit Somech; Tomer Wolfson; Oz Zafar (EDBT, 2025)

EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline. - Peter Baile Chen; Tomer Wolfson; Michael J. Cafarella; Dan Roth (CoRR, 2025)