X-Gen: a random test-case generator for systems and SoCs. - Roy Emek; Itai Jaeger; Yehuda Naveh; Gadi Bergman; Guy Aloni; Yoav Katz; Monica Farkash; Igor Dozoretz; Alex Goldin (HLDVT, 2002)

DeepTrans - A Model-based Approach to Functional Verification of Address Translation Mechanisms. - Allon Adir; Roy Emek; Yoav Katz; Anatoly Koyfman (MTV, 2003)

Quality Improvement Methods for System-Level Stimuli Generation. - Roy Emek; Itai Jaeger; Yoav Katz; Yehuda Naveh (ICCD, 2004)

Reuse in system-level stimuli-generation. - Yoav Katz; Itai Jaeger; Roy Emek; Yossi Lichtenstein; Anita Devadason; Audrey Romonosky (HLDVT, 2005)

Path-Based System Level Stimuli Generation. - Shady Copty; Itai Jaeger; Yoav Katz (Haifa Verification Conference, 2005)

DeepTrans - Extending the Model-based Approach to Functional Verification of Address Translation Mechanisms. - Allon Adir; Laurent Fournier; Yoav Katz; Anatoly Koyfman (HLDVT, 2006)

Intelligent Interleaving of Scenarios: A Novel Approach to System Level Test Generation. - Shady Copty; Itai Jaeger; Yoav Katz; Michael Vinov (DAC, 2007)

Constraint-Based Random Stimuli Generation for Hardware Verification. - Yehuda Naveh; Michal Rimon; Itai Jaeger; Yoav Katz; Michael Vinov; Eitan Marcus; Gil Shurek (AI Mag., 2007)

Throughput maximization of real-time scheduling with batching. - Amotz Bar-Noy; Sudipto Guha; Yoav Katz; Joseph Naor; Baruch Schieber; Hadas Shachnai (ACM Trans. Algorithms, 2009)

Learning microarchitectural behaviors to improve stimuli generation quality. - Yoav Katz; Michal Rimon; Avi Ziv; Gai Shaked (DAC, 2011)

Generating instruction streams using abstract CSP. - Yoav Katz; Michal Rimon; Avi Ziv (DATE, 2012)

A Novel Approach for Implementing Microarchitectural Verification Plans in Processor Designs. - Yoav Katz; Michal Rimon; Avi Ziv (Haifa Verification Conference, 2012)

Enhancing Scenario Quality Using Quasi-Events. - Yoav Katz; Eitan Marcus; Avi Ziv (Haifa Verification Conference, 2014)

Automatic Arguments Construction - From Search Engine to Research Engine. - Dan Gutfreund; Yoav Katz; Noam Slonim (AAAI Fall Symposia, 2016)

From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion. - Roy Bar-Haim; Dalia Krieger; Orith Toledo-Ronen; Lilach Edelstein; Yonatan Bilu; Alon Halfon; Yoav Katz; Amir Menczel; Ranit Aharonov; Noam Slonim (ACL (1), 2019)

Learning to combine Grammatical Error Corrections. - Yoav Kantor; Yoav Katz; Leshem Choshen; Edo Cohen-Karlik; Naftali Liberman; Assaf Toledo; Amir Menczel; Noam Slonim (BEA@ACL, 2019)

Fast End-to-End Wikification. - Ilya Shnayderman; Liat Ein-Dor; Yosi Mass; Alon Halfon; Benjamin Sznajder; Artem Spector; Yoav Katz; Dafna Sheinwald; Ranit Aharonov; Noam Slonim (CoRR, 2019)

Active Learning for BERT: An Empirical Study. - Liat Ein-Dor; Alon Halfon; Ariel Gera; Eyal Shnarch; Lena Dankin; Leshem Choshen; Marina Danilevsky; Ranit Aharonov; Yoav Katz; Noam Slonim (EMNLP (1), 2020)

YASO: A New Benchmark for Targeted Sentiment Analysis. - Matan Orbach; Orith Toledo-Ronen; Artem Spector; Ranit Aharonov; Yoav Katz; Noam Slonim (CoRR, 2020)

Overview of the 2021 Key Point Analysis Shared Task. - Roni Friedman; Lena Dankin; Yufang Hou 001; Ranit Aharonov; Yoav Katz; Noam Slonim (ArgMining@EMNLP, 2021)

Project Debater APIs: Decomposing the AI Grand Challenge. - Roy Bar-Haim; Yoav Kantor; Elad Venezian; Yoav Katz; Noam Slonim (EMNLP (Demos), 2021)

YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews. - Matan Orbach; Orith Toledo-Ronen; Artem Spector; Ranit Aharonov; Yoav Katz; Noam Slonim (EMNLP (1), 2021)

An autonomous debating system. - 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; et al. (Nat., 2021)

Multi-Domain Targeted Sentiment Analysis. - Orith Toledo-Ronen; Matan Orbach; Yoav Katz; Noam Slonim (NAACL-HLT, 2022)

Fusing finetuned models for better pretraining. - Leshem Choshen; Elad Venezian; Noam Slonim; Yoav Katz (CoRR, 2022)

VIRATrustData: A Trust-Annotated Corpus of Human-Chatbot Conversations About COVID-19 Vaccines. - Roni Friedman; João Sedoc; Shai Gretz; Assaf Toledo; Rose Weeks; Naor Bar-Zeev; Yoav Katz; Noam Slonim (CoRR, 2022)

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours. - Eyal Shnarch; Alon Halfon; Ariel Gera; Marina Danilevsky; Yannis Katsis; Leshem Choshen; Martín Santillán Cooper; Dina Epelboim; Zheng Zhang 043; Dakuo Wang; Lucy Yip; Liat Ein-Dor; et al. (CoRR, 2022)

ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. - Shachar Don-Yehiya; Elad Venezian; Colin Raffel; Noam Slonim; Yoav Katz; Leshem Choshen (CoRR, 2022)

SimpleStyle: An Adaptable Style Transfer Approach. - Elron Bandel; Yoav Katz; Noam Slonim; Liat Ein-Dor (CoRR, 2022)

Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy. - Shai Gretz; Assaf Toledo; Roni Friedman; Dan Lahav; Rose Weeks; Naor Bar-Zeev; João Sedoc; Pooja Sangha; Yoav Katz; Noam Slonim (EACL (Findings), 2023)

Where to start? Analyzing the potential value of intermediate models. - Leshem Choshen; Elad Venezian; Shachar Don-Yehiya; Noam Slonim; Yoav Katz (EMNLP, 2023)

Welcome to the Real World: Efficient, Incremental and Scalable Key Point Analysis. - Lilach Eden; Yoav Kantor; Matan Orbach; Yoav Katz; Noam Slonim; Roy Bar-Haim (EMNLP (Industry Track), 2023)

Zero-shot Topical Text Classification with LLMs - an Experimental Study. - Shai Gretz; Alon Halfon; Ilya Shnayderman; Orith Toledo-Ronen; Artem Spector; Lena Dankin; Yannis Katsis; Ofir Arviv; Yoav Katz; Noam Slonim; Liat Ein-Dor (EMNLP (Findings), 2023)

Knowledge is a Region in Weight Space for Fine-tuned Language Models. - Almog Gueta; Elad Venezian; Colin Raffel; Noam Slonim; Yoav Katz; Leshem Choshen (EMNLP (Findings), 2023)

Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI. - 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 (NAACL (Demonstrations), 2024)

Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM Tuning in Real-World Applications. - Alon Halfon; Shai Gretz; Ofir Arviv; Artem Spector; Orith Toledo-Ronen; Yoav Katz; Liat Ein-Dor; Michal Shmueli-Scheuer; Noam Slonim (CoRR, 2024)

Conversational Prompt Engineering. - Liat Ein-Dor; Orith Toledo-Ronen; Artem Spector; Shai Gretz; Lena Dankin; Alon Halfon; Yoav Katz; Noam Slonim (CoRR, 2024)