Argument Invention from First Principles. - Yonatan Bilu; Ariel Gera; Daniel Hershcovich; Benjamin Sznajder; Dan Lahav; Guy Moshkowich; Anael Malet; Assaf Gavron; Noam Slonim (ACL (1), 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)

Controversy in Context. - Benjamin Sznajder; Ariel Gera; Yonatan Bilu; Dafna Sheinwald; Ella Rabinovich; Ranit Aharonov; David Konopnicki; Noam Slonim (CoRR, 2019)

Financial Event Extraction Using Wikipedia-Based Weak Supervision. - Liat Ein-Dor; Ariel Gera; Orith Toledo-Ronen; Alon Halfon; Benjamin Sznajder (CoRR, 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)

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)

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)

Active Learning for Natural Language Generation. - Yotam Perlitz; Ariel Gera; Michal Shmueli-Scheuer; Dafna Sheinwald; Noam Slonim; Liat Ein-Dor (EMNLP, 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)

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)

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)

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)

JuStRank: Benchmarking LLM Judges for System Ranking. - Ariel Gera; Odellia Boni; Yotam Perlitz; Roy Bar-Haim; Lilach Eden; Asaf Yehudai (ACL (1), 2025)

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)

WildIFEval: Instruction Following in the Wild. - Gili Lior; Asaf Yehudai; Ariel Gera; Liat Ein-Dor (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)

Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluation. - Noy Sternlicht; Ariel Gera; Roy Bar-Haim; Tom Hope; Noam Slonim (CoRR, 2025)