Argument Invention from First Principles. - Yonatan Bilu; Ariel Gera; Daniel Hershcovich; Benjamin Sznajder; Dan Lahav; Guy Moshkowich; Anael Malet; Assaf Gavron; Noam Slonim (ACL (1), 2019)

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)

Out of the Echo Chamber: Detecting Countering Debate Speeches. - Matan Orbach; Yonatan Bilu; Assaf Toledo; Dan Lahav; Michal Jacovi; Ranit Aharonov; Noam Slonim (ACL, 2020)

Interactive Extractive Search over Biomedical Corpora. - Hillel Taub-Tabib; Micah Shlain; Shoval Sadde; Dan Lahav; Matan Eyal; Yaara Cohen; Yoav Goldberg (BioNLP, 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)

MultiModalQA: complex question answering over text, tables and images. - Alon Talmor; Ori Yoran; Amnon Catav; Dan Lahav; Yizhong Wang; Akari Asai; Gabriel Ilharco; Hannaneh Hajishirzi; Jonathan Berant (ICLR, 2021)

A Search Engine for Discovery of Biomedical Challenges and Directions. - Dan Lahav; Jon Saad-Falcon; Bailey Kuehl; Sophie Johnson; Sravanthi Parasa; Noam Shomron; Duen Horng Chau; Diyi Yang; Eric Horvitz; Daniel S. Weld; Tom Hope (CoRR, 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)

A Search Engine for Discovery of Scientific Challenges and Directions. - Dan Lahav; Jon Saad-Falcon; Bailey Kuehl; Sophie Johnson; Sravanthi Parasa; Noam Shomron; Duen Horng Chau; Diyi Yang; Eric Horvitz; Daniel S. Weld; Tom Hope (AAAI, 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)

What Makes an Evaluation Useful? Common Pitfalls and Best Practices. - Gil Gekker; Meirav Segal; Dan Lahav; Omer Nevo (CoRR, 2025)

Leveraging LLM Inconsistency to Boost Pass@k Performance. - Uri Dalal; Meirav Segal; Zvika Ben-Haim; Dan Lahav; Omer Nevo (CoRR, 2025)