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Dan Lahav
Dan Lahav
PatternLabs.co (previously: IBM AI Research, Tel Aviv University)
Verified email at mail.tau.ac.il - Homepage
Title
Cited by
Cited by
Year
An autonomous debating system
N Slonim, Y Bilu, C Alzate, R Bar-Haim, B Bogin, F Bonin, L Choshen, ...
Nature 591 (7850), 379-384, 2021
1922021
A large-scale dataset for argument quality ranking: Construction and analysis
S Gretz, R Friedman, E Cohen-Karlik, A Toledo, D Lahav, R Aharonov, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7805-7813, 2020
1212020
Multimodalqa: Complex question answering over text, tables and images
A Talmor, O Yoran, A Catav, D Lahav, Y Wang, A Asai, G Ilharco, ...
ICLR 2021, 2021
1142021
From arguments to key points: Towards automatic argument summarization
R Bar-Haim, L Eden, R Friedman, Y Kantor, D Lahav, N Slonim
ACL 2020, 2020
992020
Automatic Argument Quality Assessment--New Datasets and Methods
A Toledo, S Gretz, E Cohen-Karlik, R Friedman, E Venezian, D Lahav, ...
EMNLP 2019, 2019
882019
Quantitative argument summarization and beyond: Cross-domain key point analysis
R Bar-Haim, Y Kantor, L Eden, R Friedman, D Lahav, N Slonim
EMNLP 2020, 2020
452020
Interactive extractive search over biomedical corpora
H Taub-Tabib, M Shlain, S Sadde, D Lahav, M Eyal, Y Cohen, Y Goldberg
arXiv preprint arXiv:2006.04148, 2020
322020
Predicting bloodstream infection outcome using machine learning
Y Zoabi, O Kehat, D Lahav, A Weiss-Meilik, A Adler, N Shomron
Scientific reports 11 (1), 20101, 2021
272021
A Search Engine for Discovery of Scientific Challenges and Directions
D Lahav, JS Falcon, B Kuehl, S Johnson, S Parasa, N Shomron, DH Chau, ...
AAAI 2022, 2021
272021
Argument invention from first principles
Y Bilu, A Gera, D Hershcovich, B Sznajder, D Lahav, G Moshkowich, ...
ACL 2019, 2019
252019
Out of the echo chamber: Detecting countering debate speeches
M Orbach, Y Bilu, A Toledo, D Lahav, M Jacovi, R Aharonov, N Slonim
ACL 2020, 2020
202020
Chatbot-delivered COVID-19 vaccine communication message preferences of young adults and public health workers in urban American communities: qualitative study
R Weeks, L Cooper, P Sangha, J Sedoc, S White, A Toledo, S Gretz, ...
Journal of medical Internet research 24 (7), e38418, 2022
132022
Usability and credibility of a COVID-19 vaccine chatbot for young adults and health workers in the United States: formative mixed methods study
R Weeks, P Sangha, L Cooper, J Sedoc, S White, S Gretz, A Toledo, ...
JMIR Human Factors 10, e40533, 2023
112023
Benchmark data and evaluation framework for intent discovery around COVID-19 vaccine hesitancy
S Gretz, A Toledo, R Friedman, D Lahav, R Weeks, N Bar-Zeev, J Sedoc, ...
arXiv preprint arXiv:2205.11966, 2022
72022
Securing Artificial Intelligence Model Weights: Interim Report
S Nevo, D Lahav, A Karpur, J Alstott, J Matheny
RAND Corporation, 2023
52023
Piloting a COVID-19 vaccine chatbot with young adults and health workers in the US to validate usability, credibility, and intention to use.
R Weeks, P Sangha, L Cooper, J Sedoc, S White, S Gretz, A Toledo, ...
JMIR Human Factors, 2022
12022
COVID-19 Vaccine Communication via Chatbot: A Qualitative Study on Message Preferences of Young Adults and Public Health Workers in Urban American Communities.
R Weeks, L Cooper, P Sangha, J Sedoc, S White, A Toledo, S Gretz, ...
Journal of Medical Internet Research 24 (7), 2022
2022
Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy (preprint)
S Gretz, A Toledo, R Friedman, D Lahav, R Weeks, N Bar-Zeev, J Sedoc, ...
2022
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