Graph-Based Transduction with Confidence. - Matan Orbach; Koby Crammer (ECML/PKDD (2), 2012)

Listening Comprehension over Argumentative Content. - Shachar Mirkin; Guy Moshkowich; Matan Orbach; Lili Kotlerman; Yoav Kantor; Tamar Lavee; Michal Jacovi; Yonatan Bilu; Ranit Aharonov; Noam Slonim (EMNLP, 2018)

Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining. - Tamar Lavee; Matan Orbach; Lili Kotlerman; Yoav Kantor; Shai Gretz; Lena Dankin; Michal Jacovi; Yonatan Bilu; Ranit Aharonov; Noam Slonim (ArgMining@ACL, 2019)

A Dataset of General-Purpose Rebuttal. - Matan Orbach; Yonatan Bilu; Ariel Gera; Yoav Kantor; Lena Dankin; Tamar Lavee; Lili Kotlerman; Shachar Mirkin; Michal Jacovi; Ranit Aharonov; Noam Slonim (EMNLP/IJCNLP (1), 2019)

Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining. - Tamar Lavee; Matan Orbach; Lili Kotlerman; Yoav Kantor; Shai Gretz; Lena Dankin; Shachar Mirkin; Michal Jacovi; Yonatan Bilu; Ranit Aharonov; Noam Slonim (CoRR, 2019)

Out of the Echo Chamber: Detecting Countering Debate Speeches. - Matan Orbach; Yonatan Bilu; Assaf Toledo; Dan Lahav; Michal Jacovi; Ranit Aharonov; Noam Slonim (ACL, 2020)

Multilingual Argument Mining: Datasets and Analysis. - Orith Toledo-Ronen; Matan Orbach; Yonatan Bilu; Artem Spector; Noam Slonim (EMNLP (Findings), 2020)

YASO: A New Benchmark for Targeted Sentiment Analysis. - Matan Orbach; Orith Toledo-Ronen; Artem Spector; Ranit Aharonov; Yoav Katz; Noam Slonim (CoRR, 2020)

YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews. - Matan Orbach; Orith Toledo-Ronen; Artem Spector; Ranit Aharonov; Yoav Katz; Noam Slonim (EMNLP (1), 2021)

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)

Multi-Domain Targeted Sentiment Analysis. - Orith Toledo-Ronen; Matan Orbach; Yoav Katz; Noam Slonim (NAACL-HLT, 2022)

Towards Automated Assessment of Organizational Cybersecurity Posture in Cloud. - Roy Bar-Haim; Lilach Eden; Yoav Kantor; Vikas Agarwal; Mark Devereux; Nisha Gupta; Arun Kumar 002; Matan Orbach; Michael Zan (COMAD/CODS, 2023)

Welcome to the Real World: Efficient, Incremental and Scalable Key Point Analysis. - Lilach Eden; Yoav Kantor; Matan Orbach; Yoav Katz; Noam Slonim; Roy Bar-Haim (EMNLP (Industry Track), 2023)

Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI. - Elron Bandel; Yotam Perlitz; Elad Venezian; Roni Friedman; Ofir Arviv; Matan Orbach; Shachar Don-Yehiya; Dafna Sheinwald; Ariel Gera; Leshem Choshen; Michal Shmueli-Scheuer; Yoav Katz (NAACL (Demonstrations), 2024)

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)