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ORCIDShai Gretz
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2020 – today
- 2024
[i9]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)- [i8]Liat Ein-Dor, Orith Toledo-Ronen, Artem Spector, Shai Gretz, Lena Dankin, Alon Halfon, Yoav Katz, Noam Slonim:
Conversational Prompt Engineering. CoRR abs/2408.04560 (2024) - 2023
- [c8]Shai Gretz, Assaf Toledo, Roni Friedman, Dan Lahav, Rose Weeks, Naor Bar-Zeev, João Sedoc, Pooja Sangha, Yoav Katz, Noam Slonim:
Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy. EACL (Findings) 2023: 1328-1340 - [c7]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 - 2022
- [i7]Shai Gretz, Assaf Toledo, Roni Friedman, Dan Lahav, Rose Weeks, Naor Bar-Zeev, João Sedoc, Pooja Sangha, Yoav Katz, Noam Slonim:
Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy. CoRR abs/2205.11966 (2022) - [i6]Roni Friedman, João Sedoc, Shai Gretz, Assaf Toledo, Rose Weeks, Naor Bar-Zeev, Yoav Katz, Noam Slonim:
VIRATrustData: A Trust-Annotated Corpus of Human-Chatbot Conversations About COVID-19 Vaccines. CoRR abs/2205.12240 (2022) - 2021
- [j2]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) - 2020
- [c6]Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, Noam Slonim:
A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis. AAAI 2020: 7805-7813 - [c5]Shai Gretz, Yonatan Bilu, Edo Cohen-Karlik, Noam Slonim:
The workweek is the best time to start a family - A Study of GPT-2 Based Claim Generation. EMNLP (Findings) 2020: 528-544 - [i5]Yonatan Bilu, Shai Gretz, Edo Cohen, Noam Slonim:
What if we had no Wikipedia? Domain-independent Term Extraction from a Large News Corpus. CoRR abs/2009.08240 (2020) - [i4]Shai Gretz, Yonatan Bilu, Edo Cohen-Karlik, Noam Slonim:
The workweek is the best time to start a family - A Study of GPT-2 Based Claim Generation. CoRR abs/2010.06185 (2020)
2010 – 2019
- 2019
- [c4]Tamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz, Lena Dankin, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim:
Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining. ArgMining@ACL 2019: 58-66 - [c3]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 - [i3]Tamar Lavee, Matan Orbach, Lili Kotlerman, Yoav Kantor, Shai Gretz, Lena Dankin, Shachar Mirkin, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim:
Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining. CoRR abs/1907.11889 (2019) - [i2]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) - [i1]Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, Noam Slonim:
A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis. CoRR abs/1911.11408 (2019) - 2018
- [c2]Ran Levy, Ben Bogin, Shai Gretz, Ranit Aharonov, Noam Slonim:
Towards an argumentative content search engine using weak supervision. COLING 2018: 2066-2081 - 2017
- [c1]Ran Levy, Shai Gretz, Benjamin Sznajder, Shay Hummel, Ranit Aharonov, Noam Slonim:
Unsupervised corpus-wide claim detection. ArgMining@EMNLP 2017: 79-84 - 2015
- [j1]Shai Gretz, Alon Itai, Brian MacWhinney, Bracha Nir, Shuly Wintner:
Parsing Hebrew CHILDES transcripts. Lang. Resour. Evaluation 49(1): 107-145 (2015)
Coauthor Index
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