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Jonathan Herzig
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2020 – today
- 2024
- [c39]Uri Shaham, Jonathan Herzig, Roee Aharoni, Idan Szpektor, Reut Tsarfaty, Matan Eyal:
Multilingual Instruction Tuning With Just a Pinch of Multilinguality. ACL (Findings) 2024: 2304-2317 - [c38]Alon Jacovi, Yonatan Bitton, Bernd Bohnet, Jonathan Herzig, Or Honovich, Michael Tseng, Michael Collins, Roee Aharoni, Mor Geva:
A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains. ACL (1) 2024: 4615-4634 - [c37]Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig:
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? EMNLP 2024: 7765-7784 - [c36]Shashwat Singh, Shauli Ravfogel, Jonathan Herzig, Roee Aharoni, Ryan Cotterell, Ponnurangam Kumaraguru:
Representation Surgery: Theory and Practice of Affine Steering. ICML 2024 - [c35]Avi Caciularu, Alon Jacovi, Eyal Ben-David, Sasha Goldshtein, Tal Schuster, Jonathan Herzig, Gal Elidan, Amir Globerson:
TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools. NeurIPS 2024 - [i32]Uri Shaham, Jonathan Herzig, Roee Aharoni, Idan Szpektor, Reut Tsarfaty, Matan Eyal:
Multilingual Instruction Tuning With Just a Pinch of Multilinguality. CoRR abs/2401.01854 (2024) - [i31]Alon Jacovi, Yonatan Bitton, Bernd Bohnet, Jonathan Herzig, Or Honovich, Michael Tseng, Michael Collins, Roee Aharoni, Mor Geva:
A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains. CoRR abs/2402.00559 (2024) - [i30]Shashwat Singh, Shauli Ravfogel, Jonathan Herzig, Roee Aharoni, Ryan Cotterell, Ponnurangam Kumaraguru:
MiMiC: Minimally Modified Counterfactuals in the Representation Space. CoRR abs/2402.09631 (2024) - [i29]Adi Simhi, Jonathan Herzig, Idan Szpektor, Yonatan Belinkov:
Constructing Benchmarks and Interventions for Combating Hallucinations in LLMs. CoRR abs/2404.09971 (2024) - [i28]Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig:
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? CoRR abs/2405.05904 (2024) - [i27]Avi Caciularu, Alon Jacovi, Eyal Ben-David, Sasha Goldshtein, Tal Schuster, Jonathan Herzig, Gal Elidan, Amir Globerson:
TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools. CoRR abs/2406.03618 (2024) - [i26]Arie Cattan, Alon Jacovi, Alex Fabrikant, Jonathan Herzig, Roee Aharoni, Hannah Rashkin, Dror Marcus, Avinatan Hassidim, Yossi Matias, Idan Szpektor, Avi Caciularu:
Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations. CoRR abs/2406.13632 (2024) - [i25]Adi Simhi, Jonathan Herzig, Idan Szpektor, Yonatan Belinkov:
Distinguishing Ignorance from Error in LLM Hallucinations. CoRR abs/2410.22071 (2024) - 2023
- [c34]Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata:
Multilingual Summarization with Factual Consistency Evaluation. ACL (Findings) 2023: 3562-3591 - [c33]Benjamin Muller, John Wieting, Jonathan H. Clark, Tom Kwiatkowski, Sebastian Ruder, Livio Soares, Roee Aharoni, Jonathan Herzig, Xinyi Wang:
Evaluating and Modeling Attribution for Cross-Lingual Question Answering. EMNLP 2023: 144-157 - [c32]Zorik Gekhman, Jonathan Herzig, Roee Aharoni, Chen Elkind, Idan Szpektor:
TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models. EMNLP 2023: 2053-2070 - [c31]Alon Jacovi, Avi Caciularu, Jonathan Herzig, Roee Aharoni, Bernd Bohnet, Mor Geva:
A Comprehensive Evaluation of Tool-Assisted Generation Strategies. EMNLP (Findings) 2023: 13856-13878 - [c30]Michal Yarom, Yonatan Bitton, Soravit Changpinyo, Roee Aharoni, Jonathan Herzig, Oran Lang, Eran Ofek, Idan Szpektor:
What You See is What You Read? Improving Text-Image Alignment Evaluation. NeurIPS 2023 - [p1]Jonathan Herzig, Jonathan Berant, Ben Bogin:
Latent Trees for Compositional Generalization. Compendium of Neurosymbolic Artificial Intelligence 2023: 631-664 - [i24]Michal Yarom, Yonatan Bitton, Soravit Changpinyo, Roee Aharoni, Jonathan Herzig, Oran Lang, Eran Ofek, Idan Szpektor:
What You See is What You Read? Improving Text-Image Alignment Evaluation. CoRR abs/2305.10400 (2023) - [i23]Zorik Gekhman, Jonathan Herzig, Roee Aharoni, Chen Elkind, Idan Szpektor:
TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models. CoRR abs/2305.11171 (2023) - [i22]Benjamin Muller, John Wieting, Jonathan H. Clark, Tom Kwiatkowski, Sebastian Ruder, Livio Baldini Soares, Roee Aharoni, Jonathan Herzig, Xinyi Wang:
Evaluating and Modeling Attribution for Cross-Lingual Question Answering. CoRR abs/2305.14332 (2023) - [i21]Alon Jacovi, Avi Caciularu, Jonathan Herzig, Roee Aharoni, Bernd Bohnet, Mor Geva
:
A Comprehensive Evaluation of Tool-Assisted Generation Strategies. CoRR abs/2310.10062 (2023) - 2022
- [c29]Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansky, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias:
TRUE: Re-evaluating Factual Consistency Evaluation. DialDoc@ACL 2022: 161-175 - [c28]Linlu Qiu, Peter Shaw, Panupong Pasupat, Tianze Shi, Jonathan Herzig, Emily Pitler, Fei Sha, Kristina Toutanova:
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing. EMNLP 2022: 9157-9179 - [c27]Ohad Rubin, Jonathan Herzig, Jonathan Berant:
Learning To Retrieve Prompts for In-Context Learning. NAACL-HLT 2022: 2655-2671 - [c26]Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansky, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias:
TRUE: Re-evaluating Factual Consistency Evaluation. NAACL-HLT 2022: 3905-3920 - [i20]Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansky, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, Yossi Matias:
TRUE: Re-evaluating Factual Consistency Evaluation. CoRR abs/2204.04991 (2022) - [i19]Linlu Qiu, Peter Shaw, Panupong Pasupat, Tianze Shi, Jonathan Herzig, Emily Pitler, Fei Sha, Kristina Toutanova:
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing. CoRR abs/2205.12253 (2022) - [i18]Samuel Joseph Amouyal, Ohad Rubin, Ori Yoran, Tomer Wolfson, Jonathan Herzig, Jonathan Berant:
QAMPARI: : An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple Paragraphs. CoRR abs/2205.12665 (2022) - [i17]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:
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. CoRR abs/2212.08037 (2022) - [i16]Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata:
mFACE: Multilingual Summarization with Factual Consistency Evaluation. CoRR abs/2212.10622 (2022) - 2021
- [b1]Jonathan Herzig:
Out-of-Distribution Generalization in Semantic Parsing. Tel Aviv University, Israel, 2021 - [c25]Jonathan Herzig, Jonathan Berant:
Span-based Semantic Parsing for Compositional Generalization. ACL/IJCNLP (1) 2021: 908-921 - [c24]Inbar Oren, Jonathan Herzig, Jonathan Berant:
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization. EMNLP (1) 2021: 10793-10809 - [c23]Jonathan Herzig, Thomas Müller, Syrine Krichene, Julian Martin Eisenschlos:
Open Domain Question Answering over Tables via Dense Retrieval. NAACL-HLT 2021: 512-519 - [i15]Jonathan Herzig, Thomas Müller, Syrine Krichene
, Julian Martin Eisenschlos:
Open Domain Question Answering over Tables via Dense Retrieval. CoRR abs/2103.12011 (2021) - [i14]Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, Yuan Zhang:
Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations. CoRR abs/2104.07478 (2021) - [i13]Inbar Oren, Jonathan Herzig, Jonathan Berant:
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization. CoRR abs/2109.02575 (2021) - [i12]Ohad Rubin, Jonathan Herzig, Jonathan Berant:
Learning To Retrieve Prompts for In-Context Learning. CoRR abs/2112.08633 (2021) - 2020
- [c22]Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller
, Francesco Piccinno, Julian Martin Eisenschlos:
TaPas: Weakly Supervised Table Parsing via Pre-training. ACL 2020: 4320-4333 - [c21]Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant:
Improving Compositional Generalization in Semantic Parsing. EMNLP (Findings) 2020: 2482-2495 - [i11]Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, Francesco Piccinno, Julian Martin Eisenschlos:
TAPAS: Weakly Supervised Table Parsing via Pre-training. CoRR abs/2004.02349 (2020) - [i10]Jonathan Herzig, Jonathan Berant:
Span-based Semantic Parsing for Compositional Generalization. CoRR abs/2009.06040 (2020) - [i9]Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant:
Improving Compositional Generalization in Semantic Parsing. CoRR abs/2010.05647 (2020)
2010 – 2019
- 2019
- [c20]Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki:
TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks. ACL (1) 2019: 2125-2131 - [c19]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:
A Summarization System for Scientific Documents. EMNLP/IJCNLP (3) 2019: 211-216 - [c18]Jonathan Herzig, Jonathan Berant:
Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing. EMNLP/IJCNLP (1) 2019: 3808-3818 - [c17]Dor Muhlgay, Jonathan Herzig, Jonathan Berant:
Value-based Search in Execution Space for Mapping Instructions to Programs. NAACL-HLT (1) 2019: 1942-1954 - [c16]Alon Talmor, Jonathan Herzig, Nicholas Lourie, Jonathan Berant:
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge. NAACL-HLT (1) 2019: 4149-4158 - [c15]Jonathan Herzig, Tommy Sandbank, Michal Shmueli-Scheuer, David Konopnicki:
Bot2Vec: Learning Representations of Chatbots. *SEM@NAACL-HLT 2019: 75-84 - [c14]Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, Tommy Sandbank:
Detecting Persuasive Arguments based on Author-Reader Personality Traits and their Interaction. UMAP 2019: 211-215 - [i8]Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki:
TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks. CoRR abs/1906.01351 (2019) - [i7]Jonathan Herzig, Jonathan Berant:
Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing. CoRR abs/1908.09940 (2019) - [i6]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:
A Summarization System for Scientific Documents. CoRR abs/1908.11152 (2019) - 2018
- [c13]Jonathan Herzig, Jonathan Berant:
Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing. EMNLP 2018: 1619-1629 - [c12]Michal Shmueli-Scheuer, Jonathan Herzig, Tommy Sandbank, David Konopnicki:
On the Expression of Agent Emotions in Customer Support Dialogs in Social Media. IUI Companion 2018: 43:1-43:2 - [c11]Tommy Sandbank, Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, John T. Richards, David Piorkowski:
Detecting Egregious Conversations between Customers and Virtual Agents. NAACL-HLT 2018: 1802-1811 - [i5]Jonathan Herzig, Jonathan Berant:
Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing. CoRR abs/1804.07918 (2018) - [i4]Alon Talmor, Jonathan Herzig, Nicholas Lourie, Jonathan Berant:
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge. CoRR abs/1811.00937 (2018) - [i3]Dor Muhlgay, Jonathan Herzig, Jonathan Berant:
Value-based Search in Execution Space for Mapping Instructions to Programs. CoRR abs/1811.01090 (2018) - 2017
- [c10]Jonathan Herzig, Jonathan Berant:
Neural Semantic Parsing over Multiple Knowledge-bases. ACL (2) 2017: 623-628 - [c9]Jonathan Herzig, Michal Shmueli-Scheuer, David Konopnicki:
Emotion Detection from Text via Ensemble Classification Using Word Embeddings. ICTIR 2017: 269-272 - [c8]Jonathan Herzig, Michal Shmueli-Scheuer, Tommy Sandbank, David Konopnicki:
Neural Response Generation for Customer Service based on Personality Traits. INLG 2017: 252-256 - [c7]Tommy Sandbank, Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, Rottem Shaul:
EHCTool: Managing Emotional Hotspots for Conversational Agents. IUI Companion 2017: 125-128 - [i2]Jonathan Herzig, Jonathan Berant:
Neural Semantic Parsing over Multiple Knowledge-bases. CoRR abs/1702.01569 (2017) - [i1]Tommy Sandbank, Michal Shmueli-Scheuer, David Konopnicki, Jonathan Herzig, John T. Richards, David Piorkowski:
Detecting Egregious Conversations between Customers and Virtual Agents. CoRR abs/1711.05780 (2017) - 2016
- [c6]Guy Feigenblat, David Konopnicki, Michal Shmueli-Scheuer, Jonathan Herzig, Hen Shkedi:
I Understand Your Frustration. CSCW Companion 2016: 25-28 - [c5]Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli, Daniel Altman, David Spivak:
Classifying Emotions in Customer Support Dialogues in Social Media. SIGDIAL Conference 2016: 64-73 - [c4]Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli:
Predicting Customer Satisfaction in Customer Support Conversations in Social Media Using Affective Features. UMAP 2016: 115-119 - 2015
- [j2]Jonathan Herzig, Amitai Bickel, Arie Eitan, Nathan Intrator:
Monitoring Cardiac Stress Using Features Extracted From S1 Heart Sounds. IEEE Trans. Biomed. Eng. 62(4): 1169-1178 (2015) - 2014
- [c3]Jonathan Herzig, Yosi Mass, Haggai Roitman:
An author-reader influence model for detecting topic-based influencers in social media. HT 2014: 46-55 - [c2]Guy Feigenblat, Jonathan Herzig, Michal Shmueli-Scheuer, David Konopnicki:
Mindful: A Platform for Large-Scale Affective Field Research. ImmersiveMe@MM 2014: 45-48 - 2013
- [j1]David Konopnicki, Michal Shmueli-Scheuer, Doron Cohen, Benjamin Sznajder, Jonathan Herzig, Ariel Raviv, N. Zwerling, Haggai Roitman, Yosi Mass:
A statistical approach to mining customers' conversational data from social media. IBM J. Res. Dev. 57(3/4): 14 (2013) - [c1]Emmanouil Schinas, Symeon Papadopoulos, Sotiris Diplaris
, Yiannis Kompatsiaris, Yosi Mass, Jonathan Herzig, Lazaros Boudakidis:
EventSense: capturing the pulse of large-scale events by mining social media streams. Panhellenic Conference on Informatics 2013: 17-24
Coauthor Index

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