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ORCIDRoni Friedman
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- affiliation: IBM Research
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2020 – today
- 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- [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) - 2023
- [c8]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 - [c7]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 - [i9]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) - 2022
- [i8]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) - [i7]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
- [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) - [c6]Roy Bar-Haim, Lilach Eden, Yoav Kantor, Roni Friedman, Noam Slonim:
Every Bite Is an Experience: Key Point Analysis of Business Reviews. ACL/IJCNLP (1) 2021: 3376-3386 - [c5]Roni Friedman, Lena Dankin, Yufang Hou, Ranit Aharonov, Yoav Katz, Noam Slonim:
Overview of the 2021 Key Point Analysis Shared Task. ArgMining@EMNLP 2021: 154-164 - [i6]Roy Bar-Haim, Lilach Eden, Yoav Kantor, Roni Friedman, Noam Slonim:
Every Bite Is an Experience: Key Point Analysis of Business Reviews. CoRR abs/2106.06758 (2021) - [i5]Roni Friedman, Lena Dankin, Yufang Hou, Ranit Aharonov, Yoav Katz, Noam Slonim:
Overview of the 2021 Key Point Analysis Shared Task. CoRR abs/2110.10577 (2021) - 2020
- [c4]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 - [c3]Roy Bar-Haim, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav, Noam Slonim:
From Arguments to Key Points: Towards Automatic Argument Summarization. ACL 2020: 4029-4039 - [c2]Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav, Noam Slonim:
Quantitative argument summarization and beyond: Cross-domain key point analysis. EMNLP (1) 2020: 39-49 - [i4]Roy Bar-Haim, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav, Noam Slonim:
From Arguments to Key Points: Towards Automatic Argument Summarization. CoRR abs/2005.01619 (2020) - [i3]Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav, Noam Slonim:
Quantitative Argument Summarization and Beyond: Cross-Domain Key Point Analysis. CoRR abs/2010.05369 (2020)
2010 – 2019
- 2019
- [c1]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 - [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)
Coauthor Index
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last updated on 2024-09-13 01:42 CEST by the dblp team
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