You Better Look Twice: a new perspective for designing accurate detectors with reduced computations. - Alexandra Dana; Maor Shutman; Yotam Perlitz; Ran Vitek; Tomer Peleg; Roy J. Jevnisek (BMVC, 2021)

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

Diversity Enhanced Table-to-Text Generation via Type Control. - Yotam Perlitz; Liat Ein-Dor; Dafna Sheinwald; Noam Slonim; Michal Shmueli-Scheuer (CoRR, 2022)

nBIIG: A Neural BI Insights Generation System for Table Reporting. - Yotam Perlitz; Dafna Sheinwald; Noam Slonim; Michal Shmueli-Scheuer (AAAI, 2023)

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

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)

Holmes: Benchmark the Linguistic Competence of Language Models. - Andreas Waldis; Yotam Perlitz; Leshem Choshen; Yufang Hou 001; Iryna Gurevych (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)

Can You Trust Your Metric? Automatic Concatenation-Based Tests for Metric Validity. - Ora Nova Fandina; Leshem Choshen; Eitan Farchi; George Kour; Yotam Perlitz; Orna Raz (CoRR, 2024)

Holmes ⌕ A Benchmark to Assess the Linguistic Competence of Language Models. - Andreas Waldis; Yotam Perlitz; Leshem Choshen; Yufang Hou 001; Iryna Gurevych (Trans. Assoc. Comput. Linguistics, 2024)

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

DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation. - Eliya Habba; Ofir Arviv; Itay Itzhak; Yotam Perlitz; Elron Bandel; Leshem Choshen; Michal Shmueli-Scheuer; Gabriel Stanovsky (ACL (Findings), 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)

NeurIPS 2023 LLM Efficiency Fine-tuning Competition. - Mark Saroufim; Yotam Perlitz; Leshem Choshen; Luca Antiga; Greg Bowyer; Christian Puhrsch; Driss Guessous; Supriya Rao; Geeta Chauhan; Ashvini Kumar; Jindal Pawan Kumar; Rajpoot Ankur Parikh; et al. (CoRR, 2025)

CLEAR: Error Analysis via LLM-as-a-Judge Made Easy. - Asaf Yehudai; Lilach Eden; Yotam Perlitz; Roy Bar-Haim; Michal Shmueli-Scheuer (CoRR, 2025)