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Ofir Arviv
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2020 – today
- 2024
- [c10]Asaf Yehudai, Boaz Carmeli, Yosi Mass, Ofir Arviv, Nathaniel Mills, Eyal Shnarch, Leshem Choshen:
Achieving Human Parity in Content-Grounded Datasets Generation. ICLR 2024 - [c9]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:
Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI. NAACL (Demonstrations) 2024: 207-215 - [c8]Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen:
Efficient Benchmarking (of Language Models). NAACL-HLT 2024: 2519-2536 - [i10]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:
Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI. CoRR abs/2401.14019 (2024) - [i9]Asaf Yehudai, Boaz Carmeli, Yosi Mass, Ofir Arviv, Nathaniel Mills, Assaf Toledo, Eyal Shnarch, Leshem Choshen:
Genie: Achieving Human Parity in Content-Grounded Datasets Generation. CoRR abs/2401.14367 (2024) - [i8]Yotam Perlitz, Ariel Gera, Ofir Arviv, Asaf Yehudai, Elron Bandel, Eyal Shnarch, Michal Shmueli-Scheuer, Leshem Choshen:
Benchmark Agreement Testing Done Right: A Guide for LLM Benchmark Evaluation. CoRR abs/2407.13696 (2024) - [i7]Alon Halfon, Shai Gretz, Ofir Arviv, Artem Spector, Orith Toledo-Ronen, Yoav Katz, Liat Ein-Dor, Michal Shmueli-Scheuer, Noam Slonim:
Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM Tuning in Real-World Applications. CoRR abs/2407.18990 (2024) - 2023
- [c7]Ariel Gera, Roni Friedman, Ofir Arviv, Chulaka Gunasekara, Benjamin Sznajder, Noam Slonim, Eyal Shnarch:
The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers. ACL (1) 2023: 10406-10420 - [c6]Ofir Arviv, Dmitry Nikolaev, Taelin Karidi, Omri Abend:
Improving Cross-lingual Transfer through Subtree-aware Word Reordering. EMNLP (Findings) 2023: 718-736 - [c5]Shai Gretz, Alon Halfon, Ilya Shnayderman, Orith Toledo-Ronen, Artem Spector, Lena Dankin, Yannis Katsis, Ofir Arviv, Yoav Katz, Noam Slonim, Liat Ein-Dor:
Zero-shot Topical Text Classification with LLMs - an Experimental Study. EMNLP (Findings) 2023: 9647-9676 - [i6]Ariel Gera, Roni Friedman, Ofir Arviv, Chulaka Gunasekara, Benjamin Sznajder, Noam Slonim, Eyal Shnarch:
The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers. CoRR abs/2305.01628 (2023) - [i5]Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen:
Efficient Benchmarking (of Language Models). CoRR abs/2308.11696 (2023) - [i4]Ofir Arviv, Dmitry Nikolaev, Taelin Karidi, Omri Abend:
Improving Cross-Lingual Transfer through Subtree-Aware Word Reordering. CoRR abs/2310.13583 (2023) - 2021
- [c4]Ofir Arviv, Dmitry Nikolaev, Taelin Karidi, Omri Abend:
On the Relation between Syntactic Divergence and Zero-Shot Performance. EMNLP (1) 2021: 4803-4817 - [i3]Ofir Arviv, Dmitry Nikolaev, Taelin Karidi, Omri Abend:
On the Relation between Syntactic Divergence and Zero-Shot Performance. CoRR abs/2110.04644 (2021) - 2020
- [c3]Dmitry Nikolaev, Ofir Arviv, Taelin Karidi, Neta Kenneth, Veronika Mitnik, Lilja Maria Saeboe, Omri Abend:
Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences. ACL 2020: 1159-1176 - [c2]Ofir Arviv, Ruixiang Cui, Daniel Hershcovich:
HUJI-KU at MRP 2020: Two Transition-based Neural Parsers. CoNLL Shared Task 2020: 73-82 - [i2]Dmitry Nikolaev, Ofir Arviv, Taelin Karidi, Neta Kenneth, Veronika Mitnik, Lilja Maria Saeboe, Omri Abend:
Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences. CoRR abs/2005.03436 (2020) - [i1]Ofir Arviv, Ruixiang Cui, Daniel Hershcovich:
HUJI-KU at MRP~2020: Two Transition-based Neural Parsers. CoRR abs/2010.05710 (2020)
2010 – 2019
- 2019
- [c1]Daniel Hershcovich, Ofir Arviv:
TUPA at MRP 2019: A Multi-Task Baseline System. CoNLL Shared Task 2019: 28-39
Coauthor Index
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last updated on 2024-10-07 22:13 CEST by the dblp team
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