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 (Panhellenic Conference on Informatics, 2013)

A statistical approach to mining customers' conversational data from social media. - David Konopnicki; Michal Shmueli-Scheuer; Doron Cohen 001; Benjamin Sznajder; Jonathan Herzig; Ariel Raviv; N. Zwerling; Haggai Roitman; Yosi Mass (IBM J. Res. Dev., 2013)

An author-reader influence model for detecting topic-based influencers in social media. - Jonathan Herzig; Yosi Mass; Haggai Roitman (HT, 2014)

Mindful: A Platform for Large-Scale Affective Field Research. - Guy Feigenblat; Jonathan Herzig; Michal Shmueli-Scheuer; David Konopnicki (ImmersiveMe@MM, 2014)

Monitoring Cardiac Stress Using Features Extracted From S1 Heart Sounds. - Jonathan Herzig; Amitai Bickel; Arie Eitan; Nathan Intrator (IEEE Trans. Biomed. Eng., 2015)

I Understand Your Frustration. - Guy Feigenblat; David Konopnicki; Michal Shmueli-Scheuer; Jonathan Herzig; Hen Shkedi (CSCW Companion, 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 (SIGDIAL Conference, 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 (UMAP, 2016)

Neural Semantic Parsing over Multiple Knowledge-bases. - Jonathan Herzig; Jonathan Berant (ACL (2), 2017)

Emotion Detection from Text via Ensemble Classification Using Word Embeddings. - Jonathan Herzig; Michal Shmueli-Scheuer; David Konopnicki (ICTIR, 2017)

Neural Response Generation for Customer Service based on Personality Traits. - Jonathan Herzig; Michal Shmueli-Scheuer; Tommy Sandbank; David Konopnicki (INLG, 2017)

EHCTool: Managing Emotional Hotspots for Conversational Agents. - Tommy Sandbank; Michal Shmueli-Scheuer; Jonathan Herzig; David Konopnicki; Rottem Shaul (IUI Companion, 2017)

Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing. - Jonathan Herzig; Jonathan Berant (EMNLP, 2018)

On the Expression of Agent Emotions in Customer Support Dialogs in Social Media. - Michal Shmueli-Scheuer; Jonathan Herzig; Tommy Sandbank; David Konopnicki (IUI Companion, 2018)

Detecting Egregious Conversations between Customers and Virtual Agents. - Tommy Sandbank; Michal Shmueli-Scheuer; Jonathan Herzig; David Konopnicki; John T. Richards; David Piorkowski (NAACL-HLT, 2018)

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 (ACL (1), 2019)

A Summarization System for Scientific Documents. - Shai Erera; Michal Shmueli-Scheuer; Guy Feigenblat; Ora Peled Nakash; Odellia Boni; Haggai Roitman; Doron Cohen 001; Bar Weiner; Yosi Mass; Or Rivlin; Guy Lev; Achiya Jerbi; et al. (EMNLP/IJCNLP (3), 2019)

Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing. - Jonathan Herzig; Jonathan Berant (EMNLP/IJCNLP (1), 2019)

Value-based Search in Execution Space for Mapping Instructions to Programs. - Dor Muhlgay; Jonathan Herzig; Jonathan Berant (NAACL-HLT (1), 2019)

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge. - Alon Talmor; Jonathan Herzig; Nicholas Lourie; Jonathan Berant (NAACL-HLT (1), 2019)

Bot2Vec: Learning Representations of Chatbots. - Jonathan Herzig; Tommy Sandbank; Michal Shmueli-Scheuer; David Konopnicki (*SEM@NAACL-HLT, 2019)

Detecting Persuasive Arguments based on Author-Reader Personality Traits and their Interaction. - Michal Shmueli-Scheuer; Jonathan Herzig; David Konopnicki; Tommy Sandbank (UMAP, 2019)

TaPas: Weakly Supervised Table Parsing via Pre-training. - Jonathan Herzig; Pawel Krzysztof Nowak; Thomas Müller 009; Francesco Piccinno; Julian Martin Eisenschlos (ACL, 2020)

Improving Compositional Generalization in Semantic Parsing. - Inbar Oren; Jonathan Herzig; Nitish Gupta; Matt Gardner 001; Jonathan Berant (EMNLP (Findings), 2020)

Span-based Semantic Parsing for Compositional Generalization. - Jonathan Herzig; Jonathan Berant (ACL/IJCNLP (1), 2021)

Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization. - Inbar Oren; Jonathan Herzig; Jonathan Berant (EMNLP (1), 2021)

Open Domain Question Answering over Tables via Dense Retrieval. - Jonathan Herzig; Thomas Müller 009; Syrine Krichene; Julian Martin Eisenschlos (NAACL-HLT, 2021)

Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations. - Jonathan Herzig; Peter Shaw 004; Ming-Wei Chang; Kelvin Guu; Panupong Pasupat; Yuan Zhang 001 (CoRR, 2021)

Out-of-Distribution Generalization in Semantic Parsing - Jonathan Herzig (2021)

Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing. - Linlu Qiu; Peter Shaw 004; Panupong Pasupat; Tianze Shi; Jonathan Herzig; Emily Pitler; Fei Sha; Kristina Toutanova (EMNLP, 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 (NAACL-HLT, 2022)

Learning To Retrieve Prompts for In-Context Learning. - Ohad Rubin; Jonathan Herzig; Jonathan Berant (NAACL-HLT, 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)

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. - Bernd Bohnet; Vinh Q. Tran 002; Pat Verga; Roee Aharoni; Daniel Andor; Livio Baldini Soares; Jacob Eisenstein; Kuzman Ganchev; Jonathan Herzig; Kai Hui 001; Tom Kwiatkowski; Ji Ma 004; et al. (CoRR, 2022)

mFACE: Multilingual Summarization with Factual Consistency Evaluation. - Roee Aharoni; Shashi Narayan; Joshua Maynez; Jonathan Herzig; Elizabeth Clark; Mirella Lapata (CoRR, 2022)

Multilingual Summarization with Factual Consistency Evaluation. - Roee Aharoni; Shashi Narayan; Joshua Maynez; Jonathan Herzig; Elizabeth Clark; Mirella Lapata (ACL (Findings), 2023)

TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models. - Zorik Gekhman; Jonathan Herzig; Roee Aharoni; Chen Elkind; Idan Szpektor (EMNLP, 2023)

A Comprehensive Evaluation of Tool-Assisted Generation Strategies. - Alon Jacovi; Avi Caciularu; Jonathan Herzig; Roee Aharoni; Bernd Bohnet; Mor Geva (EMNLP (Findings), 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 001 (EMNLP, 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 (NeurIPS, 2023)

Latent Trees for Compositional Generalization. - Jonathan Herzig; Jonathan Berant; Ben Bogin (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Multilingual Instruction Tuning With Just a Pinch of Multilinguality. - Uri Shaham 002; Jonathan Herzig; Roee Aharoni; Idan Szpektor; Reut Tsarfaty; Matan Eyal (ACL (Findings), 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 001; Roee Aharoni; Mor Geva (ACL (1), 2024)

Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? - Zorik Gekhman; Gal Yona; Roee Aharoni; Matan Eyal; Amir Feder; Roi Reichart; Jonathan Herzig (EMNLP, 2024)

Representation Surgery: Theory and Practice of Affine Steering. - Shashwat Singh; Shauli Ravfogel; Jonathan Herzig; Roee Aharoni; Ryan Cotterell; Ponnurangam Kumaraguru (ICML, 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 (NeurIPS, 2024)

MiMiC: Minimally Modified Counterfactuals in the Representation Space. - Shashwat Singh; Shauli Ravfogel; Jonathan Herzig; Roee Aharoni; Ryan Cotterell; Ponnurangam Kumaraguru (CoRR, 2024)

Constructing Benchmarks and Interventions for Combating Hallucinations in LLMs. - 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)

Distinguishing Ignorance from Error in LLM Hallucinations. - Adi Simhi; Jonathan Herzig; Idan Szpektor; Yonatan Belinkov (CoRR, 2024)

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, 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, 2025)