Ofir Arviv

22 papers A* 2Journal 11Unranked 9
YearRankTypeTitle / 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