Scholar
Tomer Wolfson
Google Scholar ID: 6jFwxg4AAAAJ
University of Pennsylvania
Natural Language Processing
Data Management
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
797
H-index
8
i10-index
8
Publications
13
Co-authors
21
list available
Contact
GitHub
Open ↗
Publications
4 items
SAGE: Structure Aware Graph Expansion for Retrieval of Heterogeneous Data
2026
Cited
0
Decomposed Prompting Does Not Fix Knowledge Gaps, But Helps Models Say"I Don't Know"
2026
Cited
0
MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of Documents
2025
Cited
0
EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline
2025
Cited
0
Resume (English only)
Academic Achievements
MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of Documents. TACL 2025
EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline. COLM 2025
Generating Tables from the Parametric Knowledge of Language Models. NAACL 2025 (KnowledgeNLP Workshop)
LINX: A Language Driven Generative System for Goal-Oriented Automated Data Exploration. EDBT 2025
Making Retrieval-Augmented Language Models Robust to Irrelevant Context. ICLR 2024
Answering Questions by Meta-Reasoning over Multiple Chains of Thought. EMNLP 2023
QAMPARI: An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple Paragraphs. GEM Workshop @ EMNLP 2023
Weakly Supervised Text-to-SQL Parsing through Question Decomposition. NAACL 2022
Break, Perturb, Build: Automatic Perturbation of Reasoning Paths through Question Decomposition. TACL 2022 (presented at ACL 2022)
Obtaining Faithful Interpretations from Compositional Neural Networks. ACL 2020
Break It Down: A Question Understanding Benchmark. TACL 2020 (presented at ACL 2020)
Background
Postdoctoral Research Fellow at the University of Pennsylvania School of Engineering and Applied Science
Member of the Cognitive Computation Group led by Prof. Dan Roth
CHE Postdoctoral Fellow for AI and Data Science
Research focuses on the intersection of Data Management and Natural Language Processing
Develops algorithms capable of understanding complex questions requiring reasoning over hundreds of documents
Co-authors
21 total
Jonathan Berant
Professor, Tel-Aviv University, Visiting Faculty Researcher, Google DeepMInd
Ori Yoran
Tel-Aviv University
Daniel Deutch
Tel Aviv University
Mor Geva
Tel Aviv University, Google Research
Co-author 5
Jonathan Herzig
Research Scientist, Google
Ben Bogin
Google
Ori Ram
Google
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