Lexical Reference: a Semantic Matching Subtask. - Oren Glickman; Eyal Shnarch; Ido Dagan (EMNLP, 2006)

Semantic Inference at the Lexical-Syntactic Level. - Roy Bar-Haim; Ido Dagan; Iddo Greental; Eyal Shnarch (AAAI, 2007)

Instance-based Evaluation of Entailment Rule Acquisition. - Idan Szpektor; Eyal Shnarch; Ido Dagan (ACL, 2007)

Natural Language as the Basis for Meaning Representation and Inference. - Ido Dagan; Roy Bar-Haim; Idan Szpektor; Iddo Greental; Eyal Shnarch (CICLing, 2008)

Efficient Semantic Deduction and Approximate Matching over Compact Parse Forests. - Roy Bar-Haim; Ido Dagan; Shachar Mirkin; Eyal Shnarch; Idan Szpektor; Jonathan Berant; Iddo Greental (TAC, 2008)

Extracting Lexical Reference Rules from Wikipedia. - Eyal Shnarch; Libby Barak; Ido Dagan (ACL/IJCNLP, 2009)

Evaluating the Inferential Utility of Lexical-Semantic Resources. - Shachar Mirkin; Ido Dagan; Eyal Shnarch (EACL, 2009)

Text Categorization from Category Name via Lexical Reference. - Libby Barak; Ido Dagan; Eyal Shnarch (HLT-NAACL (Short Papers), 2009)

Addressing Discourse and Document Structure in the RTE Search Task. - Shachar Mirkin; Roy Bar-Haim; Ido Dagan; Eyal Shnarch; Asher Stern 001; Idan Szpektor; Jonathan Berant (TAC, 2009)

Recognising Entailment within Discourse. - Shachar Mirkin; Jonathan Berant; Ido Dagan; Eyal Shnarch (COLING, 2010)

Rule Chaining and Approximate Match in textual inference. - Asher Stern 001; Eyal Shnarch; Shachar Mirkin; Lili Kotlerman; Naomi Zeichner; Ido Dagan; Amnon Lotan; Jonathan Berant (TAC, 2010)

A Probabilistic Modeling Framework for Lexical Entailment. - Eyal Shnarch; Jacob Goldberger; Ido Dagan (ACL (2), 2011)

Towards a Probabilistic Model for Lexical Entailment. - Eyal Shnarch; Jacob Goldberger; Ido Dagan (TextInfer@EMNLP, 2011)

Knowledge and Tree-Edits in Learnable Entailment Proofs. - Asher Stern 001; Shachar Mirkin; Eyal Shnarch; Lili Kotlerman; Ido Dagan; Amnon Lotan; Jonathan Berant (TAC, 2011)

A Probabilistic Lexical Model for Ranking Textual Inferences. - Eyal Shnarch; Ido Dagan; Jacob Goldberger (*SEM@NAACL-HLT, 2012)

PLIS: a Probabilistic Lexical Inference System. - Eyal Shnarch; Erel Segal-haLevi; Jacob Goldberger; Ido Dagan (ACL (Conference System Demonstrations), 2013)

GRASP: Rich Patterns for Argumentation Mining. - Eyal Shnarch; Ran Levy 001; Vikas C. Raykar; Noam Slonim (EMNLP, 2017)

Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining. - Eyal Shnarch; Carlos Alzate; Lena Dankin; Martin Gleize; Yufang Hou 001; Leshem Choshen; Ranit Aharonov; Noam Slonim (ACL (2), 2018)

Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution. - Liat Ein-Dor; Alon Halfon; Yoav Kantor; Ran Levy 001; Yosi Mass; Ruty Rinott; Eyal Shnarch; Noam Slonim (LREC, 2018)

Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network. - Martin Gleize; Eyal Shnarch; Leshem Choshen; Lena Dankin; Guy Moshkowich; Ranit Aharonov; Noam Slonim (ACL (1), 2019)

Corpus Wide Argument Mining - A Working Solution. - Liat Ein-Dor; Eyal Shnarch; Lena Dankin; Alon Halfon; Benjamin Sznajder; Ariel Gera; Carlos Alzate; Martin Gleize; Leshem Choshen; Yufang Hou 001; Yonatan Bilu; Ranit Aharonov; et al. (AAAI, 2020)

Active Learning for BERT: An Empirical Study. - Liat Ein-Dor; Alon Halfon; Ariel Gera; Eyal Shnarch; Lena Dankin; Leshem Choshen; Marina Danilevsky; Ranit Aharonov; Yoav Katz; Noam Slonim (EMNLP (1), 2020)

Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains. - Eyal Shnarch; Leshem Choshen; Guy Moshkowich; Ranit Aharonov; Noam Slonim (EMNLP (Findings), 2020)

An autonomous debating system. - Noam Slonim; Yonatan Bilu; Carlos Alzate; Roy Bar-Haim; Ben Bogin; Francesca Bonin; Leshem Choshen; Edo Cohen-Karlik; Lena Dankin; Lilach Edelstein; Liat Ein-Dor; Roni Friedman-Melamed; et al. (Nat., 2021)

Cluster & Tune: Boost Cold Start Performance in Text Classification. - Eyal Shnarch; Ariel Gera; Alon Halfon; Lena Dankin; Leshem Choshen; Ranit Aharonov; Noam Slonim (ACL (1), 2022)

Zero-Shot Text Classification with Self-Training. - Ariel Gera; Alon Halfon; Eyal Shnarch; Yotam Perlitz; Liat Ein-Dor; Noam Slonim (EMNLP, 2022)

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours. - Eyal Shnarch; Alon Halfon; Ariel Gera; Marina Danilevsky; Yannis Katsis; Leshem Choshen; Martín Santillán Cooper; Dina Epelboim; Zheng Zhang 043; Dakuo Wang (EMNLP (Demos), 2022)

GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patterns. - Piyawat Lertvittayakumjorn; Leshem Choshen; Eyal Shnarch; Francesca Toni (LREC, 2022)

Heuristic-based Inter-training to Improve Few-shot Multi-perspective Dialog Summarization. - Benjamin Sznajder; R. Chulaka Gunasekara; Guy Lev; Sachin Joshi; Eyal Shnarch; Noam Slonim (CoRR, 2022)

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours. - Eyal Shnarch; Alon Halfon; Ariel Gera; Marina Danilevsky; Yannis Katsis; Leshem Choshen; Martín Santillán Cooper; Dina Epelboim; Zheng Zhang 043; Dakuo Wang; Lucy Yip; Liat Ein-Dor; et al. (CoRR, 2022)

The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers. - Ariel Gera; Roni Friedman; Ofir Arviv; R. Chulaka Gunasekara; Benjamin Sznajder; Noam Slonim; Eyal Shnarch (ACL (1), 2023)

Label-Efficient Model Selection for Text Generation. - Shir Ashury-Tahan; Ariel Gera; Benjamin Sznajder; Leshem Choshen; Liat Ein-Dor; Eyal Shnarch (ACL (1), 2024)

Achieving Human Parity in Content-Grounded Datasets Generation. - Asaf Yehudai; Boaz Carmeli; Yosi Mass; Ofir Arviv; Nathaniel Mills; Eyal Shnarch; Leshem Choshen (ICLR, 2024)

Efficient Benchmarking (of Language Models). - Yotam Perlitz; Elron Bandel; Ariel Gera; Ofir Arviv; Liat Ein-Dor; Eyal Shnarch; Noam Slonim; Michal Shmueli-Scheuer; Leshem Choshen (NAACL-HLT, 2024)

Genie: Achieving Human Parity in Content-Grounded Datasets Generation. - Asaf Yehudai; Boaz Carmeli; Yosi Mass; Ofir Arviv; Nathaniel Mills; Assaf Toledo; Eyal Shnarch; Leshem Choshen (CoRR, 2024)

Benchmark Agreement Testing Done Right: A Guide for LLM Benchmark Evaluation. - Yotam Perlitz; Ariel Gera; Ofir Arviv; Asaf Yehudai; Elron Bandel; Eyal Shnarch; Michal Shmueli-Scheuer; Leshem Choshen (CoRR, 2024)

The Mighty ToRR: A Benchmark for Table Reasoning and Robustness. - Shir Ashury-Tahan; Yifan Mai 001; Rajmohan C; Ariel Gera; Yotam Perlitz; Asaf Yehudai; Elron Bandel; Leshem Choshen; Eyal Shnarch; Percy Liang; Michal Shmueli-Scheuer (CoRR, 2025)

An Analysis of Hyper-Parameter Optimization Methods for Retrieval Augmented Generation. - Matan Orbach; Ohad Eytan; Benjamin Sznajder; Ariel Gera; Odellia Boni; Yoav Kantor; Gal Bloch; Omri Levy; Hadas Abraham; Nitzan Barzilay; Eyal Shnarch; Michael Factor; et al. (CoRR, 2025)