Jonathan Herzig

According to our database, Jonathan Herzig authored at least 52 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

DRAGged into Conflicts: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs.

Arie Cattan, Alon Jacovi, Ori Ram, Jonathan Herzig, Roee Aharoni, Sasha Goldshtein, Eran Ofek, Idan Szpektor, Avi Caciularu

CoRR, June, 2025

Inside-Out: Hidden Factual Knowledge in LLMs.

Zorik Gekhman, Eyal Ben-David, Hadas Orgad, Eran Ofek, Yonatan Belinkov, Idan Szpektor, Jonathan Herzig, Roi Reichart

CoRR, March, 2025

2024

Distinguishing Ignorance from Error in LLM Hallucinations.

Adi Simhi, Jonathan Herzig, Idan Szpektor, Yonatan Belinkov

CoRR, 2024

Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations.

Arie Cattan, Alon Jacovi, Alex Fabrikant, Jonathan Herzig, Roee Aharoni, Hannah Rashkin, Dror Marcus, Avinatan Hassidim, Yossi Matias, Idan Szpektor, Avi Caciularu

CoRR, 2024

Constructing Benchmarks and Interventions for Combating Hallucinations in LLMs.

Adi Simhi, Jonathan Herzig, Idan Szpektor, Yonatan Belinkov

CoRR, 2024

MiMiC: Minimally Modified Counterfactuals in the Representation Space.

Shashwat Singh, Shauli Ravfogel, Jonathan Herzig, Roee Aharoni, Ryan Cotterell, Ponnurangam Kumaraguru

CoRR, 2024

TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools.

Avi Caciularu, Alon Jacovi, Eyal Ben-David, Sasha Goldshtein, Tal Schuster, Jonathan Herzig, Gal Elidan, Amir Globerson

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Representation Surgery: Theory and Practice of Affine Steering.

Shashwat Singh, Shauli Ravfogel, Jonathan Herzig, Roee Aharoni, Ryan Cotterell, Ponnurangam Kumaraguru

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains.

Alon Jacovi, Yonatan Bitton, Bernd Bohnet, Jonathan Herzig, Or Honovich, Michael Tseng, Michael Collins, Roee Aharoni, Mor Geva

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Multilingual Instruction Tuning With Just a Pinch of Multilinguality.

Uri Shaham, Jonathan Herzig, Roee Aharoni, Idan Szpektor, Reut Tsarfaty, Matan Eyal

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Latent Trees for Compositional Generalization.

Jonathan Herzig, Jonathan Berant, Ben Bogin

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Evaluating and Modeling Attribution for Cross-Lingual Question Answering.

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Comprehensive Evaluation of Tool-Assisted Generation Strategies.

Alon Jacovi, Avi Caciularu, Jonathan Herzig, Roee Aharoni, Bernd Bohnet, Mor Geva

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models.

Zorik Gekhman, Jonathan Herzig, Roee Aharoni, Chen Elkind, Idan Szpektor

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multilingual Summarization with Factual Consistency Evaluation.

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

mFACE: Multilingual Summarization with Factual Consistency Evaluation.

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

CoRR, 2022

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models.

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

CoRR, 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

Learning To Retrieve Prompts for In-Context Learning.

Ohad Rubin, Jonathan Herzig, Jonathan Berant

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

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

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

TRUE: Re-evaluating Factual Consistency Evaluation.

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

Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022

2021

Out-of-Distribution Generalization in Semantic Parsing

Jonathan Herzig

PhD thesis, 2021

Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations.

Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, Yuan Zhang

CoRR, 2021

Open Domain Question Answering over Tables via Dense Retrieval.

Jonathan Herzig, Thomas Müller, Syrine Krichene, Julian Martin Eisenschlos

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

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

Inbar Oren, Jonathan Herzig, Jonathan Berant

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Span-based Semantic Parsing for Compositional Generalization.

Jonathan Herzig, Jonathan Berant

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Improving Compositional Generalization in Semantic Parsing.

Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

TaPas: Weakly Supervised Table Parsing via Pre-training.

Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, Francesco Piccinno, Julian Martin Eisenschlos

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Detecting Persuasive Arguments based on Author-Reader Personality Traits and their Interaction.

Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, Tommy Sandbank

Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019

Bot2Vec: Learning Representations of Chatbots.

Jonathan Herzig, Tommy Sandbank, Michal Shmueli-Scheuer, David Konopnicki

Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge.

Alon Talmor, Jonathan Herzig, Nicholas Lourie, Jonathan Berant

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Value-based Search in Execution Space for Mapping Instructions to Programs.

Dor Muhlgay, Jonathan Herzig, Jonathan Berant

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing.

Jonathan Herzig, Jonathan Berant

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Summarization System for Scientific Documents.

Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat, Ora Peled Nakash, Odellia Boni, Haggai Roitman, Doron Cohen, Bar Weiner, Yosi Mass, Or Rivlin, Guy Lev, Achiya Jerbi, Jonathan Herzig, Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, David Konopnicki

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks.

Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Detecting Egregious Conversations between Customers and Virtual Agents.

Tommy Sandbank, Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, John T. Richards, David Piorkowski

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

On the Expression of Agent Emotions in Customer Support Dialogs in Social Media.

Michal Shmueli-Scheuer, Jonathan Herzig, Tommy Sandbank, David Konopnicki

Proceedings of the 23rd International Conference on Intelligent User Interfaces Companion, 2018

Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing.

Jonathan Herzig, Jonathan Berant

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

EHCTool: Managing Emotional Hotspots for Conversational Agents.

Tommy Sandbank, Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, Rottem Shaul

Proceedings of the Companion Publication of the 22nd International Conference on Intelligent User Interfaces, 2017

Neural Response Generation for Customer Service based on Personality Traits.

Jonathan Herzig, Michal Shmueli-Scheuer, Tommy Sandbank, David Konopnicki

Proceedings of the 10th International Conference on Natural Language Generation, 2017

Emotion Detection from Text via Ensemble Classification Using Word Embeddings.

Jonathan Herzig, Michal Shmueli-Scheuer, David Konopnicki

Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, 2017

Neural Semantic Parsing over Multiple Knowledge-bases.

Jonathan Herzig, Jonathan Berant

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Predicting Customer Satisfaction in Customer Support Conversations in Social Media Using Affective Features.

Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Classifying Emotions in Customer Support Dialogues in Social Media.

Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli, Daniel Altman, David Spivak

Proceedings of the SIGDIAL 2016 Conference, 2016

I Understand Your Frustration.

Guy Feigenblat, David Konopnicki, Michal Shmueli-Scheuer, Jonathan Herzig, Hen Shkedi

Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, 2016

2015

Monitoring Cardiac Stress Using Features Extracted From S₁ Heart Sounds.

Jonathan Herzig, Amitai Bickel, Arie Eitan, Nathan Intrator

IEEE Trans. Biomed. Eng., 2015

2014

Mindful: A Platform for Large-Scale Affective Field Research.

Guy Feigenblat, Jonathan Herzig, Michal Shmueli-Scheuer, David Konopnicki

Proceedings of the 2nd ACM International Workshop on Immersive Media Experiences, 2014

An author-reader influence model for detecting topic-based influencers in social media.

Jonathan Herzig, Yosi Mass, Haggai Roitman

Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

2013

A statistical approach to mining customers' conversational data from social media.

David Konopnicki, Michal Shmueli-Scheuer, Doron Cohen, Benjamin Sznajder, Jonathan Herzig, Ariel Raviv, N. Zwerling, Haggai Roitman, Yosi Mass

IBM J. Res. Dev., 2013

EventSense: capturing the pulse of large-scale events by mining social media streams.

Emmanouil Schinas, Symeon Papadopoulos, Sotiris Diplaris, Yiannis Kompatsiaris, Yosi Mass, Jonathan Herzig, Lazaros Boudakidis

Proceedings of the 17th Panhellenic Conference on Informatics, 2013