Dan Lahav

According to our database, Dan Lahav authored at least 15 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

The science and practice of proportionality in AI risk evaluations.

Carlos Mougan, Lauritz Morlock, Jair Aguirre, James R. M. Black, Jan Brauner, Siméon Campos, Sunishchal Dev, David Fernández Llorca, Alberto Franzin, Mario Fritz, Emilia Gómez, Friederike Grosse-Holz, Eloise Hamilton, Max Hasin, José Hernández-Orallo, Dan Lahav, Luca Massarelli, Vasilios Mavroudis, Malcolm Murray, Patricia Paskov, Jaime Raldua, Wout Schellaert

CoRR, March, 2026

2025

Leveraging LLM Inconsistency to Boost Pass@k Performance.

Uri Dalal, Meirav Segal, Zvika Ben-Haim, Dan Lahav, Omer Nevo

CoRR, May, 2025

What Makes an Evaluation Useful? Common Pitfalls and Best Practices.

Gil Gekker, Meirav Segal, Dan Lahav, Omer Nevo

CoRR, March, 2025

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

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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, 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

Nat., 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

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

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Quantitative argument summarization and beyond: Cross-domain key point analysis.

Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav, Noam Slonim

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Interactive Extractive Search over Biomedical Corpora.

Hillel Taub-Tabib, Micah Shlain, Shoval Sadde, Dan Lahav, Matan Eyal, Yaara Cohen, Yoav Goldberg

Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020

Out of the Echo Chamber: Detecting Countering Debate Speeches.

Matan Orbach, Yonatan Bilu, Assaf Toledo, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

From Arguments to Key Points: Towards Automatic Argument Summarization.

Roy Bar-Haim, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav, Noam Slonim

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Argument Invention from First Principles.

Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019