Yotam Perlitz

26 papers A* 4A 1Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
CLEAR: Error Analysis via LLM-as-a-Judge Made Easy.
AAAI
Asaf Yehudai, Lilach Eden, Yotam Perlitz, Roy Bar-Haim, Michal Shmueli-Scheuer
2026 J jnl
ELT-Bench-Verified: Benchmark Quality Issues Underestimate AI Agent Capabilities.
CoRR
Christopher Zanoli, Andrea Giovannini, Tengjun Jin, Ana Klimovic, Yotam Perlitz
2026 J jnl
General Agent Evaluation.
CoRR
Elron Bandel, Asaf Yehudai, Lilach Eden, Yehoshua Sagron, Yotam Perlitz, Elad Venezian, Natalia Razinkov, Natan Ergas, Shlomit Shachor Ifergan, Segev Shlomov, Michal Jacovi, Leshem Choshen, Liat Ein-Dor, Yoav Katz, Michal Shmueli-Scheuer
2025 J jnl
CLEAR: Error Analysis via LLM-as-a-Judge Made Easy.
CoRR
Asaf Yehudai, Lilach Eden, Yotam Perlitz, Roy Bar-Haim, Michal Shmueli-Scheuer
2025 — conf
DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation.
ACL (Findings)
Eliya Habba, Ofir Arviv, Itay Itzhak, Yotam Perlitz, Elron Bandel, Leshem Choshen, Michal Shmueli-Scheuer, Gabriel Stanovsky
2025 J jnl
DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation.
CoRR
Eliya Habba, Ofir Arviv, Itay Itzhak, Yotam Perlitz, Elron Bandel, Leshem Choshen, Michal Shmueli-Scheuer, Gabriel Stanovsky
2025 — conf
JuStRank: Benchmarking LLM Judges for System Ranking.
ACL (1)
Ariel Gera, Odellia Boni, Yotam Perlitz, Roy Bar-Haim, Lilach Eden, Asaf Yehudai
2025 J jnl
NeurIPS 2023 LLM Efficiency Fine-tuning Competition.
CoRR
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, Joe Isaacson, Weiwei Yang
2025 J jnl
The Mighty ToRR: A Benchmark for Table Reasoning and Robustness.
CoRR
Shir Ashury-Tahan, Yifan Mai, Rajmohan C, Ariel Gera, Yotam Perlitz, Asaf Yehudai, Elron Bandel, Leshem Choshen, Eyal Shnarch, Percy Liang, Michal Shmueli-Scheuer
2024 J jnl
Benchmark Agreement Testing Done Right: A Guide for LLM Benchmark Evaluation.
CoRR
Yotam Perlitz, Ariel Gera, Ofir Arviv, Asaf Yehudai, Elron Bandel, Eyal Shnarch, Michal Shmueli-Scheuer, Leshem Choshen
2024 J jnl
Can You Trust Your Metric? Automatic Concatenation-Based Tests for Metric Validity.
CoRR
Ora Nova Fandina, Leshem Choshen, Eitan Farchi, George Kour, Yotam Perlitz, Orna Raz
2024 — conf
Efficient Benchmarking (of Language Models).
NAACL-HLT
Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen
2024 J jnl
Holmes: Benchmark the Linguistic Competence of Language Models.
CoRR
Andreas Waldis, Yotam Perlitz, Leshem Choshen, Yufang Hou, Iryna Gurevych
2024 J jnl
JuStRank: Benchmarking LLM Judges for System Ranking.
CoRR
Ariel Gera, Odellia Boni, Yotam Perlitz, Roy Bar-Haim, Lilach Eden, Asaf Yehudai
2024 — conf
Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI.
NAACL (Demonstrations)
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
2024 J jnl
Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI.
CoRR
Elron Bandel, Yotam Perlitz, Elad Venezian, Roni Friedman-Melamed, Ofir Arviv, Matan Orbach, Shachar Don-Yehiya, Dafna Sheinwald, Ariel Gera, Leshem Choshen, Michal Shmueli-Scheuer, Yoav Katz
2023 A* conf
Active Learning for Natural Language Generation.
EMNLP
Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer, Dafna Sheinwald, Noam Slonim, Liat Ein-Dor
2023 J jnl
Active Learning for Natural Language Generation.
CoRR
Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer, Dafna Sheinwald, Noam Slonim, Liat Ein-Dor
2023 J jnl
Efficient Benchmarking (of Language Models).
CoRR
Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen
2023 A* conf
nBIIG: A Neural BI Insights Generation System for Table Reporting.
AAAI
Yotam Perlitz, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer
2022 J jnl
Diversity Enhanced Table-to-Text Generation via Type Control.
CoRR
Yotam Perlitz, Liat Ein-Dor, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer
2022 A* conf
Zero-Shot Text Classification with Self-Training.
EMNLP
Ariel Gera, Alon Halfon, Eyal Shnarch, Yotam Perlitz, Liat Ein-Dor, Noam Slonim
2022 J jnl
Zero-Shot Text Classification with Self-Training.
CoRR
Ariel Gera, Alon Halfon, Eyal Shnarch, Yotam Perlitz, Liat Ein-Dor, Noam Slonim
2022 J jnl
nBIIG: A Neural BI Insights Generation System for Table Reporting.
CoRR
Yotam Perlitz, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer
2021 A conf
You Better Look Twice: a new perspective for designing accurate detectors with reduced computations.
BMVC
Alexandra Dana, Maor Shutman, Yotam Perlitz, Ran Vitek, Tomer Peleg, Roy J. Jevnisek
2021 J jnl
You Better Look Twice: a new perspective for designing accurate detectors with reduced computations.
CoRR
Alexandra Dana, Maor Shutman, Yotam Perlitz, Ran Vitek, Tomer Peleg, Roy J. Jevnisek