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Jonathan Herzig
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Evaluating and Modeling Attribution for Cross-Lingual Question Answering


May 23, 2023
Benjamin Muller, John Wieting, Jonathan H. Clark, Tom Kwiatkowski, Sebastian Ruder, Livio Baldini Soares, Roee Aharoni, Jonathan Herzig, Xinyi Wang

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What You See is What You Read? Improving Text-Image Alignment Evaluation


May 22, 2023
Michal Yarom, Yonatan Bitton, Soravit Changpinyo, Roee Aharoni, Jonathan Herzig, Oran Lang, Eran Ofek, Idan Szpektor

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TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models


May 18, 2023
Zorik Gekhman, Jonathan Herzig, Roee Aharoni, Chen Elkind, Idan Szpektor

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mFACE: Multilingual Summarization with Factual Consistency Evaluation


Dec 20, 2022
Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata

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* 20 pages 
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Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models


Dec 15, 2022
Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster

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QAMPARI: : An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple Paragraphs


May 26, 2022
Samuel Joseph Amouyal, Ohad Rubin, Ori Yoran, Tomer Wolfson, Jonathan Herzig, Jonathan Berant

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Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing


May 24, 2022
Linlu Qiu, Peter Shaw, Panupong Pasupat, Tianze Shi, Jonathan Herzig, Emily Pitler, Fei Sha, Kristina Toutanova

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TRUE: Re-evaluating Factual Consistency Evaluation


Apr 11, 2022
Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansy, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias

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* Accepted as a long paper to NAACL 2022 main conference 
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Learning To Retrieve Prompts for In-Context Learning


Dec 16, 2021
Ohad Rubin, Jonathan Herzig, Jonathan Berant

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Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization


Sep 06, 2021
Inbar Oren, Jonathan Herzig, Jonathan Berant

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