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Daniel Deutch

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Articles by Daniel Deutch

[2308.05588] Banzhaf Values for Facts in Query Answering

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By Daniel Deutch, Ahmet KARA, Dan Olteanu, Nave Frost
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2304.13007] Answering Questions by Meta-Reasoning over Multiple Chains of Thought

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By Tomer Wolfson, Ben Bogin, Uri Katz, Daniel Deutch
| arXiv
[Submitted on 25 Apr 2023 ( v1 ), last revised 2 Aug 2024 (this version, v4)] Title:Answering Questions by Meta-Reasoning over Multiple Chains of Thought View a PDF of the paper titled Answering Questions by Meta-Reasoning over Multiple Chains of Thought, by Ori Yoran and 5 other authors View PDF HTML (experimental) Abstract:Modern systems for multi-hop question answering (QA) typically break questions into a sequence of reasoning steps, termed chain-of-thought (CoT), before arriving at a...
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[2112.06311] Weakly Supervised Text-to-SQL Parsing through Question Decomposition

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By Daniel Deutch, Jonathan Berant
| arXiv
[Submitted on 12 Dec 2021 ( v1 ), last revised 2 Aug 2024 (this version, v4)] Title:Weakly Supervised Text-to-SQL Parsing through Question Decomposition View a PDF of the paper titled Weakly Supervised Text-to-SQL Parsing through Question Decomposition, by Tomer Wolfson and 1 other authors View PDF HTML (experimental) Abstract:Text-to-SQL parsers are crucial in enabling non-experts to effortlessly query relational data.
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