Automatic Argument Quality Assessment - New Datasets and Methods. - Assaf Toledo; Shai Gretz; Edo Cohen-Karlik; Roni Friedman; Elad Venezian; Dan Lahav; Michal Jacovi; Ranit Aharonov; Noam Slonim (EMNLP/IJCNLP (1), 2019)

A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis. - Shai Gretz; Roni Friedman; Edo Cohen-Karlik; Assaf Toledo; Dan Lahav; Ranit Aharonov; Noam Slonim (AAAI, 2020)

From Arguments to Key Points: Towards Automatic Argument Summarization. - Roy Bar-Haim; Lilach Eden; Roni Friedman; Yoav Kantor; Dan Lahav; Noam Slonim (ACL, 2020)

Quantitative argument summarization and beyond: Cross-domain key point analysis. - Roy Bar-Haim; Yoav Kantor; Lilach Eden; Roni Friedman; Dan Lahav; Noam Slonim (EMNLP (1), 2020)

Every Bite Is an Experience: Key Point Analysis of Business Reviews. - Roy Bar-Haim; Lilach Eden; Yoav Kantor; Roni Friedman; Noam Slonim (ACL/IJCNLP (1), 2021)

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)

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)

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)

The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers. - Ariel Gera; Roni Friedman; Ofir Arviv; R. Chulaka Gunasekara; Benjamin Sznajder; Noam Slonim; Eyal Shnarch (ACL (1), 2023)

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)

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)