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Journal Articles
- 2022
[j2]Assaf Toledo
, Elad Venezian, Noam Slonim:
Revisiting Sequential Information Bottleneck: New Implementation and Evaluation. Entropy 24(8): 1132 (2022)- 2021
- [j1]Noam Slonim, Yonatan Bilu, Carlos Alzate, Roy Bar-Haim, Ben Bogin, Francesca Bonin, Leshem Choshen, Edo Cohen-Karlik, Lena Dankin, Lilach Edelstein, Liat Ein-Dor, Roni Friedman-Melamed, Assaf Gavron, Ariel Gera, Martin Gleize, Shai Gretz, Dan Gutfreund, Alon Halfon, Daniel Hershcovich, Ron Hoory, Yufang Hou, Shay Hummel, Michal Jacovi, Charles Jochim, Yoav Kantor, Yoav Katz, David Konopnicki, Zvi Kons, Lili Kotlerman, Dalia Krieger, Dan Lahav, Tamar Lavee, Ran Levy, Naftali Liberman, Yosi Mass, Amir Menczel, Shachar Mirkin, Guy Moshkowich, Shila Ofek-Koifman, Matan Orbach, Ella Rabinovich, Ruty Rinott, Slava Shechtman, Dafna Sheinwald, Eyal Shnarch, Ilya Shnayderman, Aya Soffer, Artem Spector, Benjamin Sznajder, Assaf Toledo, Orith Toledo-Ronen, Elad Venezian, Ranit Aharonov:
An autonomous debating system. Nat. 591(7850): 379-384 (2021)
Conference and Workshop Papers
- 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 - 2023
- [c8]Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Leshem Choshen:
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. ACL (1) 2023: 788-806 - [c7]Almog Gueta, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen:
Knowledge is a Region in Weight Space for Fine-tuned Language Models. EMNLP (Findings) 2023: 1350-1370 - [c6]Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz:
Where to start? Analyzing the potential value of intermediate models. EMNLP 2023: 1446-1470 - 2021
- [c5]Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz, Noam Slonim:
Project Debater APIs: Decomposing the AI Grand Challenge. EMNLP (Demos) 2021: 267-274 - 2019
- [c4]Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim:
Automatic Argument Quality Assessment - New Datasets and Methods. EMNLP/IJCNLP (1) 2019: 5624-5634 - 2018
- [c3]Liat Ein-Dor, Yosi Mass, Alon Halfon, Elad Venezian, Ilya Shnayderman, Ranit Aharonov, Noam Slonim:
Learning Thematic Similarity Metric from Article Sections Using Triplet Networks. ACL (2) 2018: 49-54 - [c2]Shachar Mirkin, Michal Jacovi, Tamar Lavee, Hong-Kwang Kuo, Samuel Thomas, Leslie Sager, Lili Kotlerman, Elad Venezian, Noam Slonim:
A Recorded Debating Dataset. LREC 2018 - 2017
- [c1]George Weiss, Elad Venezian:
Stability analysis for coupled synchronous generators with virtual friction. DSP 2017: 1-5
Informal and Other Publications
- 2024
- [i9]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) - 2023
- [i8]Almog Gueta, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen:
Knowledge is a Region in Weight Space for Fine-tuned Language Models. CoRR abs/2302.04863 (2023) - 2022
- [i7]Leshem Choshen, Elad Venezian, Noam Slonim, Yoav Katz:
Fusing finetuned models for better pretraining. CoRR abs/2204.03044 (2022) - [i6]Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz:
Where to start? Analyzing the potential value of intermediate models. CoRR abs/2211.00107 (2022) - [i5]Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen:
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. CoRR abs/2212.01378 (2022) - 2021
- [i4]Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz, Noam Slonim:
Project Debater APIs: Decomposing the AI Grand Challenge. CoRR abs/2110.01029 (2021) - 2019
- [i3]Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim:
Automatic Argument Quality Assessment - New Datasets and Methods. CoRR abs/1909.01007 (2019) - 2018
- [i2]Yosi Mass, Lili Kotlerman, Shachar Mirkin, Elad Venezian, Gera Witzling, Noam Slonim:
What did you Mention? A Large Scale Mention Detection Benchmark for Spoken and Written Text. CoRR abs/1801.07507 (2018) - 2017
- [i1]Shachar Mirkin, Michal Jacovi, Tamar Lavee, Hong-Kwang Kuo, Samuel Thomas, Leslie Sager, Lili Kotlerman, Elad Venezian, Noam Slonim:
A Recorded Debating Dataset. CoRR abs/1709.06438 (2017)
Coauthor Index
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