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2020 – today
- 2024
[c27]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- [i17]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) - [i16]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) - [i15]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
- [c26]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 - [c25]Lilach Eden, Yoav Kantor, Matan Orbach, Yoav Katz, Noam Slonim, Roy Bar-Haim:
Welcome to the Real World: Efficient, Incremental and Scalable Key Point Analysis. EMNLP (Industry Track) 2023: 483-491 - [c24]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 - [c23]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 - [c22]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 - [i14]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
- [c21]Orith Toledo-Ronen, Matan Orbach, Yoav Katz, Noam Slonim:
Multi-Domain Targeted Sentiment Analysis. NAACL-HLT 2022: 2751-2762 - [i13]Leshem Choshen, Elad Venezian, Noam Slonim, Yoav Katz:
Fusing finetuned models for better pretraining. CoRR abs/2204.03044 (2022) - [i12]Orith Toledo-Ronen, Matan Orbach, Yoav Katz, Noam Slonim:
Multi-Domain Targeted Sentiment Analysis. CoRR abs/2205.03804 (2022) - [i11]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) - [i10]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) - [i9]Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martín Santillán Cooper, Dina Epelboim, Zheng Zhang, Dakuo Wang, Lucy Yip, Liat Ein-Dor, Lena Dankin, Ilya Shnayderman, Ranit Aharonov, Yunyao Li, Naftali Liberman, Philip Levin Slesarev, Gwilym Newton, Shila Ofek-Koifman, Noam Slonim, Yoav Katz:
Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours. CoRR abs/2208.01483 (2022) - [i8]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) - [i7]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) - [i6]Elron Bandel, Yoav Katz, Noam Slonim, Liat Ein-Dor:
SimpleStyle: An Adaptable Style Transfer Approach. CoRR abs/2212.10498 (2022) - 2021
- [j3]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) - [c20]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 - [c19]Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz, Noam Slonim:
Project Debater APIs: Decomposing the AI Grand Challenge. EMNLP (Demos) 2021: 267-274 - [c18]Matan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov, Yoav Katz, Noam Slonim:
YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews. EMNLP (1) 2021: 9154-9173 - [i5]Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz, Noam Slonim:
Project Debater APIs: Decomposing the AI Grand Challenge. CoRR abs/2110.01029 (2021) - [i4]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
- [c17]Liat Ein-Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, Noam Slonim:
Active Learning for BERT: An Empirical Study. EMNLP (1) 2020: 7949-7962 - [i3]Matan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov, Yoav Katz, Noam Slonim:
YASO: A New Benchmark for Targeted Sentiment Analysis. CoRR abs/2012.14541 (2020)
2010 – 2019
- 2019
- [c16]Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov, Noam Slonim:
From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion. ACL (1) 2019: 977-990 - [c15]Yoav Kantor, Yoav Katz, Leshem Choshen, Edo Cohen-Karlik, Naftali Liberman, Assaf Toledo, Amir Menczel, Noam Slonim:
Learning to combine Grammatical Error Corrections. BEA@ACL 2019: 139-148 - [i2]Yoav Kantor, Yoav Katz, Leshem Choshen, Edo Cohen-Karlik, Naftali Liberman, Assaf Toledo, Amir Menczel, Noam Slonim:
Learning to combine Grammatical Error Corrections. CoRR abs/1906.03897 (2019) - [i1]Ilya Shnayderman, Liat Ein-Dor, Yosi Mass, Alon Halfon, Benjamin Sznajder, Artem Spector, Yoav Katz, Dafna Sheinwald, Ranit Aharonov, Noam Slonim:
Fast End-to-End Wikification. CoRR abs/1908.06785 (2019) - 2016
- [c14]Dan Gutfreund, Yoav Katz, Noam Slonim:
Automatic Arguments Construction - From Search Engine to Research Engine. AAAI Fall Symposia 2016 - 2014
- [c13]Yoav Katz, Eitan Marcus, Avi Ziv:
Enhancing Scenario Quality Using Quasi-Events. Haifa Verification Conference 2014: 17-29 - 2012
- [c12]Yoav Katz, Michal Rimon, Avi Ziv:
Generating instruction streams using abstract CSP. DATE 2012: 15-20 - [c11]Yoav Katz, Michal Rimon, Avi Ziv:
A Novel Approach for Implementing Microarchitectural Verification Plans in Processor Designs. Haifa Verification Conference 2012: 148-161 - 2011
- [c10]Yoav Katz, Michal Rimon, Avi Ziv, Gai Shaked:
Learning microarchitectural behaviors to improve stimuli generation quality. DAC 2011: 848-853
2000 – 2009
- 2009
- [j2]Amotz Bar-Noy, Sudipto Guha, Yoav Katz, Joseph Naor, Baruch Schieber, Hadas Shachnai:
Throughput maximization of real-time scheduling with batching. ACM Trans. Algorithms 5(2): 18:1-18:17 (2009) - 2007
- [j1]Yehuda Naveh, Michal Rimon, Itai Jaeger, Yoav Katz, Michael Vinov, Eitan Marcus, Gil Shurek:
Constraint-Based Random Stimuli Generation for Hardware Verification. AI Mag. 28(3): 13-30 (2007) - [c9]Shady Copty, Itai Jaeger, Yoav Katz, Michael Vinov:
Intelligent Interleaving of Scenarios: A Novel Approach to System Level Test Generation. DAC 2007: 891-895 - 2006
- [c8]Yehuda Naveh, Michal Rimon, Itai Jaeger, Yoav Katz, Michael Vinov, Eitan Marcus, Gil Shurek:
Constraint-Based Random Stimuli Generation for Hardware Verification. AAAI 2006: 1720-1727 - [c7]Allon Adir, Laurent Fournier, Yoav Katz, Anatoly Koyfman:
DeepTrans - Extending the Model-based Approach to Functional Verification of Address Translation Mechanisms. HLDVT 2006: 102-110 - 2005
- [c6]Yoav Katz, Itai Jaeger, Roy Emek, Yossi Lichtenstein, Anita Devadason, Audrey Romonosky:
Reuse in system-level stimuli-generation. HLDVT 2005: 105-111 - [c5]Shady Copty, Itai Jaeger, Yoav Katz:
Path-Based System Level Stimuli Generation. Haifa Verification Conference 2005: 1-13 - 2004
- [c4]Roy Emek, Itai Jaeger, Yoav Katz, Yehuda Naveh:
Quality Improvement Methods for System-Level Stimuli Generation. ICCD 2004: 204-206 - 2003
- [c3]Allon Adir, Roy Emek, Yoav Katz, Anatoly Koyfman:
DeepTrans - A Model-based Approach to Functional Verification of Address Translation Mechanisms. MTV 2003: 3-6 - 2002
- [c2]Roy Emek, Itai Jaeger, Yehuda Naveh, Gadi Bergman, Guy Aloni, Yoav Katz, Monica Farkash, Igor Dozoretz, Alex Goldin:
X-Gen: a random test-case generator for systems and SoCs. HLDVT 2002: 145-150 - [c1]Amotz Bar-Noy, Sudipto Guha, Yoav Katz, Joseph Naor, Baruch Schieber, Hadas Shachnai:
Throughput maximization of real-time scheduling with batching. SODA 2002: 742-751
Coauthor Index
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last updated on 2024-09-14 23:52 CEST by the dblp team
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