TUPA at MRP 2019: A Multi-Task Baseline System. - Daniel Hershcovich; Ofir Arviv (CoNLL Shared Task, 2019)

Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences. - Dmitry Nikolaev 002; Ofir Arviv; Taelin Karidi; Neta Kenneth; Veronika Mitnik; Lilja Maria Saeboe; Omri Abend (ACL, 2020)

HUJI-KU at MRP 2020: Two Transition-based Neural Parsers. - Ofir Arviv; Ruixiang Cui; Daniel Hershcovich (CoNLL Shared Task, 2020)

On the Relation between Syntactic Divergence and Zero-Shot Performance. - Ofir Arviv; Dmitry Nikolaev 002; Taelin Karidi; Omri Abend (EMNLP (1), 2021)

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)

Improving Cross-lingual Transfer through Subtree-aware Word Reordering. - Ofir Arviv; Dmitry Nikolaev 002; Taelin Karidi; Omri Abend (EMNLP (Findings), 2023)

Zero-shot Topical Text Classification with LLMs - an Experimental Study. - Shai Gretz; Alon Halfon; Ilya Shnayderman; Orith Toledo-Ronen; Artem Spector; Lena Dankin; Yannis Katsis; Ofir Arviv; Yoav Katz; Noam Slonim; Liat Ein-Dor (EMNLP (Findings), 2023)

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

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)

Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM Tuning in Real-World Applications. - Alon Halfon; Shai Gretz; Ofir Arviv; Artem Spector; Orith Toledo-Ronen; Yoav Katz; Liat Ein-Dor; Michal Shmueli-Scheuer; Noam Slonim (CoRR, 2024)

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)