Ofir Arviv - RankMe

22 papers A* 2Journal 11Unranked 9

Year	Rank	Type	Title / Venue / Authors
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
2024	A*	`conf`	Achieving Human Parity in Content-Grounded Datasets Generation. ICLR Asaf Yehudai, Boaz Carmeli, Yosi Mass, Ofir Arviv, Nathaniel Mills, Eyal Shnarch, Leshem Choshen
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	—	`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`	Genie: Achieving Human Parity in Content-Grounded Datasets Generation. CoRR Asaf Yehudai, Boaz Carmeli, Yosi Mass, Ofir Arviv, Nathaniel Mills, Assaf Toledo, Eyal Shnarch, Leshem Choshen
2024	J	`jnl`	Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM Tuning in Real-World Applications. CoRR Alon Halfon, Shai Gretz, Ofir Arviv, Artem Spector, Orith Toledo-Ronen, Yoav Katz, Liat Ein-Dor, Michal Shmueli-Scheuer, Noam Slonim
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	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	J	`jnl`	Improving Cross-Lingual Transfer through Subtree-Aware Word Reordering. CoRR Ofir Arviv, Dmitry Nikolaev, Taelin Karidi, Omri Abend
2023	—	`conf`	Improving Cross-lingual Transfer through Subtree-aware Word Reordering. EMNLP (Findings) Ofir Arviv, Dmitry Nikolaev, Taelin Karidi, Omri Abend
2023	—	`conf`	The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers. ACL (1) Ariel Gera, Roni Friedman, Ofir Arviv, R. Chulaka Gunasekara, Benjamin Sznajder, Noam Slonim, Eyal Shnarch
2023	J	`jnl`	The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers. CoRR Ariel Gera, Roni Friedman, Ofir Arviv, R. Chulaka Gunasekara, Benjamin Sznajder, Noam Slonim, Eyal Shnarch
2023	—	`conf`	Zero-shot Topical Text Classification with LLMs - an Experimental Study. EMNLP (Findings) Shai Gretz, Alon Halfon, Ilya Shnayderman, Orith Toledo-Ronen, Artem Spector, Lena Dankin, Yannis Katsis, Ofir Arviv, Yoav Katz, Noam Slonim, Liat Ein-Dor
2021	—	`conf`	On the Relation between Syntactic Divergence and Zero-Shot Performance. EMNLP (1) Ofir Arviv, Dmitry Nikolaev, Taelin Karidi, Omri Abend
2021	J	`jnl`	On the Relation between Syntactic Divergence and Zero-Shot Performance. CoRR Ofir Arviv, Dmitry Nikolaev, Taelin Karidi, Omri Abend
2020	A*	`conf`	Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences. ACL Dmitry Nikolaev, Ofir Arviv, Taelin Karidi, Neta Kenneth, Veronika Mitnik, Lilja Maria Saeboe, Omri Abend
2020	J	`jnl`	Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences. CoRR Dmitry Nikolaev, Ofir Arviv, Taelin Karidi, Neta Kenneth, Veronika Mitnik, Lilja Maria Saeboe, Omri Abend
2020	—	`conf`	HUJI-KU at MRP 2020: Two Transition-based Neural Parsers. CoNLL Shared Task Ofir Arviv, Ruixiang Cui, Daniel Hershcovich
2020	J	`jnl`	HUJI-KU at MRP~2020: Two Transition-based Neural Parsers. CoRR Ofir Arviv, Ruixiang Cui, Daniel Hershcovich
2019	—	`conf`	TUPA at MRP 2019: A Multi-Task Baseline System. CoNLL Shared Task Daniel Hershcovich, Ofir Arviv