Jonathan Herzig

82 papers A* 9A 2B 1Misc 1Journal 40Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Latent Reasoning with Supervised Thinking States. CoRR Ido Amos, Avi Caciularu, Mor Geva, Amir Globerson, Jonathan Herzig, Lior Shani, Idan Szpektor
2026	J	`jnl`	Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs. CoRR Zorik Gekhman, Roee Aharoni, Eran Ofek, Mor Geva, Roi Reichart, Jonathan Herzig
2025	J	`jnl`	DRAGged into Conflicts: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs. CoRR Arie Cattan, Alon Jacovi, Ori Ram, Jonathan Herzig, Roee Aharoni, Sasha Goldshtein, Eran Ofek, Idan Szpektor, Avi Caciularu
2025	—	`conf`	DoubleDipper: Recycling Contexts for Efficient and Attributed In-Context Learning. IJCNLP-AACL (Findings) Arie Cattan, Alon Jacovi, Alex Fabrikant, Jonathan Herzig, Roee Aharoni, Hannah Rashkin, Dror Marcus, Avinatan Hassidim, Yossi Matias, Idan Szpektor, Avi Caciularu
2025	J	`jnl`	HACK: Hallucinations Along Certainty and Knowledge Axes. CoRR Adi Simhi, Jonathan Herzig, Itay Itzhak, Dana Arad, Zorik Gekhman, Roi Reichart, Fazl Barez, Gabriel Stanovsky, Idan Szpektor, Yonatan Belinkov
2025	J	`jnl`	Inside-Out: Hidden Factual Knowledge in LLMs. CoRR Zorik Gekhman, Eyal Ben-David, Hadas Orgad, Eran Ofek, Yonatan Belinkov, Idan Szpektor, Jonathan Herzig, Roi Reichart
2025	J	`jnl`	ManagerBench: Evaluating the Safety-Pragmatism Trade-off in Autonomous LLMs. CoRR Adi Simhi, Jonathan Herzig, Martin Tutek, Itay Itzhak, Idan Szpektor, Yonatan Belinkov
2024	—	`conf`	A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains. ACL (1) Alon Jacovi, Yonatan Bitton, Bernd Bohnet, Jonathan Herzig, Or Honovich, Michael Tseng, Michael Collins, Roee Aharoni, Mor Geva
2024	J	`jnl`	A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains. CoRR Alon Jacovi, Yonatan Bitton, Bernd Bohnet, Jonathan Herzig, Or Honovich, Michael Tseng, Michael Collins, Roee Aharoni, Mor Geva
2024	J	`jnl`	Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations. CoRR Arie Cattan, Alon Jacovi, Alex Fabrikant, Jonathan Herzig, Roee Aharoni, Hannah Rashkin, Dror Marcus, Avinatan Hassidim, Yossi Matias, Idan Szpektor, Avi Caciularu
2024	J	`jnl`	Constructing Benchmarks and Interventions for Combating Hallucinations in LLMs. CoRR Adi Simhi, Jonathan Herzig, Idan Szpektor, Yonatan Belinkov
2024	J	`jnl`	Distinguishing Ignorance from Error in LLM Hallucinations. CoRR Adi Simhi, Jonathan Herzig, Idan Szpektor, Yonatan Belinkov
2024	A*	`conf`	Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? EMNLP Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig
2024	J	`jnl`	Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? CoRR Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig
2024	J	`jnl`	MiMiC: Minimally Modified Counterfactuals in the Representation Space. CoRR Shashwat Singh, Shauli Ravfogel, Jonathan Herzig, Roee Aharoni, Ryan Cotterell, Ponnurangam Kumaraguru
2024	—	`conf`	Multilingual Instruction Tuning With Just a Pinch of Multilinguality. ACL (Findings) Uri Shaham, Jonathan Herzig, Roee Aharoni, Idan Szpektor, Reut Tsarfaty, Matan Eyal
2024	J	`jnl`	Multilingual Instruction Tuning With Just a Pinch of Multilinguality. CoRR Uri Shaham, Jonathan Herzig, Roee Aharoni, Idan Szpektor, Reut Tsarfaty, Matan Eyal
2024	A*	`conf`	Representation Surgery: Theory and Practice of Affine Steering. ICML Shashwat Singh, Shauli Ravfogel, Jonathan Herzig, Roee Aharoni, Ryan Cotterell, Ponnurangam Kumaraguru
2024	A*	`conf`	TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools. NeurIPS Avi Caciularu, Alon Jacovi, Eyal Ben-David, Sasha Goldshtein, Tal Schuster, Jonathan Herzig, Gal Elidan, Amir Globerson
2024	J	`jnl`	TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools. CoRR Avi Caciularu, Alon Jacovi, Eyal Ben-David, Sasha Goldshtein, Tal Schuster, Jonathan Herzig, Gal Elidan, Amir Globerson
2023	—	`conf`	A Comprehensive Evaluation of Tool-Assisted Generation Strategies. EMNLP (Findings) Alon Jacovi, Avi Caciularu, Jonathan Herzig, Roee Aharoni, Bernd Bohnet, Mor Geva
2023	J	`jnl`	A Comprehensive Evaluation of Tool-Assisted Generation Strategies. CoRR Alon Jacovi, Avi Caciularu, Jonathan Herzig, Roee Aharoni, Bernd Bohnet, Mor Geva
2023	A*	`conf`	Evaluating and Modeling Attribution for Cross-Lingual Question Answering. EMNLP Benjamin Muller, John Wieting, Jonathan H. Clark, Tom Kwiatkowski, Sebastian Ruder, Livio Soares, Roee Aharoni, Jonathan Herzig, Xinyi Wang
2023	J	`jnl`	Evaluating and Modeling Attribution for Cross-Lingual Question Answering. CoRR Benjamin Muller, John Wieting, Jonathan H. Clark, Tom Kwiatkowski, Sebastian Ruder, Livio Baldini Soares, Roee Aharoni, Jonathan Herzig, Xinyi Wang
2023	—	`ch.`	Latent Trees for Compositional Generalization. Compendium of Neurosymbolic Artificial Intelligence Jonathan Herzig, Jonathan Berant, Ben Bogin
2023	—	`conf`	Multilingual Summarization with Factual Consistency Evaluation. ACL (Findings) Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata
2023	A*	`conf`	TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models. EMNLP Zorik Gekhman, Jonathan Herzig, Roee Aharoni, Chen Elkind, Idan Szpektor
2023	J	`jnl`	TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models. CoRR Zorik Gekhman, Jonathan Herzig, Roee Aharoni, Chen Elkind, Idan Szpektor
2023	A*	`conf`	What You See is What You Read? Improving Text-Image Alignment Evaluation. NeurIPS Michal Yarom, Yonatan Bitton, Soravit Changpinyo, Roee Aharoni, Jonathan Herzig, Oran Lang, Eran Ofek, Idan Szpektor
2023	J	`jnl`	What You See is What You Read? Improving Text-Image Alignment Evaluation. CoRR Michal Yarom, Yonatan Bitton, Soravit Changpinyo, Roee Aharoni, Jonathan Herzig, Oran Lang, Eran Ofek, Idan Szpektor
2022	J	`jnl`	Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. CoRR 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
2022	A*	`conf`	Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing. EMNLP Linlu Qiu, Peter Shaw, Panupong Pasupat, Tianze Shi, Jonathan Herzig, Emily Pitler, Fei Sha, Kristina Toutanova
2022	J	`jnl`	Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing. CoRR Linlu Qiu, Peter Shaw, Panupong Pasupat, Tianze Shi, Jonathan Herzig, Emily Pitler, Fei Sha, Kristina Toutanova
2022	—	`conf`	Learning To Retrieve Prompts for In-Context Learning. NAACL-HLT Ohad Rubin, Jonathan Herzig, Jonathan Berant
2022	J	`jnl`	QAMPARI: : An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple Paragraphs. CoRR Samuel Joseph Amouyal, Ohad Rubin, Ori Yoran, Tomer Wolfson, Jonathan Herzig, Jonathan Berant
2022	—	`conf`	TRUE: Re-evaluating Factual Consistency Evaluation. DialDoc@ACL Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansky, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias
2022	—	`conf`	TRUE: Re-evaluating Factual Consistency Evaluation. NAACL-HLT Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansky, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias
2022	J	`jnl`	TRUE: Re-evaluating Factual Consistency Evaluation. CoRR Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansky, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias
2022	J	`jnl`	mFACE: Multilingual Summarization with Factual Consistency Evaluation. CoRR Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata
2021	—	`conf`	Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization. EMNLP (1) Inbar Oren, Jonathan Herzig, Jonathan Berant
2021	J	`jnl`	Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization. CoRR Inbar Oren, Jonathan Herzig, Jonathan Berant
2021	J	`jnl`	Learning To Retrieve Prompts for In-Context Learning. CoRR Ohad Rubin, Jonathan Herzig, Jonathan Berant
2021	—	`conf`	Open Domain Question Answering over Tables via Dense Retrieval. NAACL-HLT Jonathan Herzig, Thomas Müller, Syrine Krichene, Julian Martin Eisenschlos
2021	J	`jnl`	Open Domain Question Answering over Tables via Dense Retrieval. CoRR Jonathan Herzig, Thomas Müller, Syrine Krichene, Julian Martin Eisenschlos
2021	—	`—`	Out-of-Distribution Generalization in Semantic Parsing Jonathan Herzig
2021	—	`conf`	Span-based Semantic Parsing for Compositional Generalization. ACL/IJCNLP (1) Jonathan Herzig, Jonathan Berant
2021	J	`jnl`	Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations. CoRR Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, Yuan Zhang
2020	—	`conf`	Improving Compositional Generalization in Semantic Parsing. EMNLP (Findings) Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant
2020	J	`jnl`	Improving Compositional Generalization in Semantic Parsing. CoRR Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant
2020	J	`jnl`	Span-based Semantic Parsing for Compositional Generalization. CoRR Jonathan Herzig, Jonathan Berant
2020	J	`jnl`	TAPAS: Weakly Supervised Table Parsing via Pre-training. CoRR Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, Francesco Piccinno, Julian Martin Eisenschlos
2020	A*	`conf`	TaPas: Weakly Supervised Table Parsing via Pre-training. ACL Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, Francesco Piccinno, Julian Martin Eisenschlos
2019	—	`conf`	A Summarization System for Scientific Documents. EMNLP/IJCNLP (3) 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
2019	J	`jnl`	A Summarization System for Scientific Documents. CoRR 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
2019	—	`conf`	Bot2Vec: Learning Representations of Chatbots. *SEM@NAACL-HLT Jonathan Herzig, Tommy Sandbank, Michal Shmueli-Scheuer, David Konopnicki
2019	—	`conf`	CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge. NAACL-HLT (1) Alon Talmor, Jonathan Herzig, Nicholas Lourie, Jonathan Berant
2019	A	`conf`	Detecting Persuasive Arguments based on Author-Reader Personality Traits and their Interaction. UMAP Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, Tommy Sandbank
2019	—	`conf`	Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing. EMNLP/IJCNLP (1) Jonathan Herzig, Jonathan Berant
2019	J	`jnl`	Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing. CoRR Jonathan Herzig, Jonathan Berant
2019	—	`conf`	TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks. ACL (1) Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki
2019	J	`jnl`	TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks. CoRR Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki
2019	—	`conf`	Value-based Search in Execution Space for Mapping Instructions to Programs. NAACL-HLT (1) Dor Muhlgay, Jonathan Herzig, Jonathan Berant
2018	J	`jnl`	CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge. CoRR Alon Talmor, Jonathan Herzig, Nicholas Lourie, Jonathan Berant
2018	A*	`conf`	Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing. EMNLP Jonathan Herzig, Jonathan Berant
2018	J	`jnl`	Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing. CoRR Jonathan Herzig, Jonathan Berant
2018	—	`conf`	Detecting Egregious Conversations between Customers and Virtual Agents. NAACL-HLT Tommy Sandbank, Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, John T. Richards, David Piorkowski
2018	—	`conf`	On the Expression of Agent Emotions in Customer Support Dialogs in Social Media. IUI Companion Michal Shmueli-Scheuer, Jonathan Herzig, Tommy Sandbank, David Konopnicki
2018	J	`jnl`	Value-based Search in Execution Space for Mapping Instructions to Programs. CoRR Dor Muhlgay, Jonathan Herzig, Jonathan Berant
2017	J	`jnl`	Detecting Egregious Conversations between Customers and Virtual Agents. CoRR Tommy Sandbank, Michal Shmueli-Scheuer, David Konopnicki, Jonathan Herzig, John T. Richards, David Piorkowski
2017	—	`conf`	EHCTool: Managing Emotional Hotspots for Conversational Agents. IUI Companion Tommy Sandbank, Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, Rottem Shaul
2017	Misc	`conf`	Emotion Detection from Text via Ensemble Classification Using Word Embeddings. ICTIR Jonathan Herzig, Michal Shmueli-Scheuer, David Konopnicki
2017	B	`conf`	Neural Response Generation for Customer Service based on Personality Traits. INLG Jonathan Herzig, Michal Shmueli-Scheuer, Tommy Sandbank, David Konopnicki
2017	—	`conf`	Neural Semantic Parsing over Multiple Knowledge-bases. ACL (2) Jonathan Herzig, Jonathan Berant
2017	J	`jnl`	Neural Semantic Parsing over Multiple Knowledge-bases. CoRR Jonathan Herzig, Jonathan Berant
2016	—	`conf`	Classifying Emotions in Customer Support Dialogues in Social Media. SIGDIAL Conference Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli, Daniel Altman, David Spivak
2016	—	`conf`	I Understand Your Frustration. CSCW Companion Guy Feigenblat, David Konopnicki, Michal Shmueli-Scheuer, Jonathan Herzig, Hen Shkedi
2016	A	`conf`	Predicting Customer Satisfaction in Customer Support Conversations in Social Media Using Affective Features. UMAP Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli
2015	J	`jnl`	Monitoring Cardiac Stress Using Features Extracted From S IEEE Trans. Biomed. Eng. Jonathan Herzig, Amitai Bickel, Arie Eitan, Nathan Intrator
2014	—	`conf`	An author-reader influence model for detecting topic-based influencers in social media. HT Jonathan Herzig, Yosi Mass, Haggai Roitman
2014	—	`conf`	Mindful: A Platform for Large-Scale Affective Field Research. ImmersiveMe@MM Guy Feigenblat, Jonathan Herzig, Michal Shmueli-Scheuer, David Konopnicki
2013	J	`jnl`	A statistical approach to mining customers' conversational data from social media. IBM J. Res. Dev. David Konopnicki, Michal Shmueli-Scheuer, Doron Cohen, Benjamin Sznajder, Jonathan Herzig, Ariel Raviv, N. Zwerling, Haggai Roitman, Yosi Mass
2013	—	`conf`	EventSense: capturing the pulse of large-scale events by mining social media streams. Panhellenic Conference on Informatics Emmanouil Schinas, Symeon Papadopoulos, Sotiris Diplaris, Yiannis Kompatsiaris, Yosi Mass, Jonathan Herzig, Lazaros Boudakidis