Itay Laish

15 papers B 1Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation.
CoRR
Aviv Slobodkin, Hagai Taitelbaum, Yonatan Bitton, Brian Gordon, Michal Sokolik, Nitzan Bitton Guetta, Almog Gueta, Royi Rassin, Itay Laish, Dani Lischinski, Idan Szpektor
2025 J jnl
The FACTS Leaderboard: A Comprehensive Benchmark for Large Language Model Factuality.
CoRR
Aileen Cheng, Alon Jacovi, Amir Globerson, Ben Golan, Charles Kwong, Chris Alberti, Connie Tao, Eyal Ben-David, Gaurav Singh Tomar, Lukas Haas, Yonatan Bitton, Adam Bloniarz, Aijun Bai, Andrew Wang, Anfal Siddiqui, Arturo Bajuelos Castillo, Aviel Atias, Chang Liu, Corey Fry, Daniel Balle, Deepanway Ghosal, Doron Kukliansky, Dror Marcus, Elena Gribovskaya, Eran Ofek, Honglei Zhuang, Itay Laish, Jan Ackermann, Lily Wang, Meg Risdal, Megan Barnes, Michael Fink, Mohamed Amin, Moran Ambar, Natan Potikha, Nikita Gupta, Nitzan Katz, Noam Velan, Ofir Roval, Ori Ram, Polina Zablotskaia, Prathamesh Bang, Priyanka Agrawal, Rakesh Ghiya, Sanjay Ganapathy, Simon Baumgartner, Sofia Erell, Sushant Prakash, Thibault Sellam, Vikram Rao, Xuanhui Wang, Yaroslav Akulov, Yulong Yang, Zhen Yang, Zhixin Lai, Zhongru Wu, Anca Dragan, Avinatan Hassidim, Fernando Pereira, Slav Petrov, Srinivasan Venkatachary, Tulsee Doshi, Yossi Matias, Sasha Goldshtein, Dipanjan Das
2023 — conf
LLMs Accelerate Annotation for Medical Information Extraction.
ML4H@NeurIPS
Akshay Goel, Almog Gueta, Omry Gilon, Chang Liu, Sofia Erell, Lan Huong Nguyen, Xiaohong Hao, Bolous Jaber, Shashir Reddy, Rupesh Kartha, Jean Steiner, Itay Laish, Amir Feder
2023 J jnl
LLMs Accelerate Annotation for Medical Information Extraction.
CoRR
Akshay Goel, Almog Gueta, Omry Gilon, Chang Liu, Sofia Erell, Lan Huong Nguyen, Xiaohong Hao, Bolous Jaber, Shashir Reddy, Rupesh Kartha, Jean Steiner, Itay Laish, Amir Feder
2023 J jnl
Surfacing Biases in Large Language Models using Contrastive Input Decoding.
CoRR
Gal Yona, Or Honovich, Itay Laish, Roee Aharoni
2022 — conf
Building a Clinically-Focused Problem List From Medical Notes.
LOUHI@EMNLP
Amir Feder, Itay Laish, Shashank Agarwal, Uri Lerner, Avel Atias, Cathy Cheung, Peter Clardy, Alon Peled-Cohen, Rachana Fellinger, Hengrui Liu, Lan Huong Nguyen, Birju Patel, Natan Potikha, Amir Taubenfeld, Liwen Xu, Seung Doo Yang, Ayelet Benjamini, Avinatan Hassidim
2022 — conf
Section Classification in Clinical Notes with Multi-task Transformers.
LOUHI@EMNLP
Fan Zhang, Itay Laish, Ayelet Benjamini, Amir Feder
2022 J jnl
Useful Confidence Measures: Beyond the Max Score.
CoRR
Gal Yona, Amir Feder, Itay Laish
2021 — conf
Learning and Evaluating a Differentially Private Pre-trained Language Model.
EMNLP (Findings)
Shlomo Hoory, Amir Feder, Avichai Tendler, Sofia Erell, Alon Peled-Cohen, Itay Laish, Hootan Nakhost, Uri Stemmer, Ayelet Benjamini, Avinatan Hassidim, Yossi Matias
2020 J jnl
Customization scenarios for de-identification of clinical notes.
BMC Medical Informatics Decis. Mak.
Tzvika Hartman, Michael D. Howell, Jeff Dean, Shlomo Hoory, Ronit Slyper, Itay Laish, Oren Gilon, Danny Vainstein, Greg Corrado, Katherine Chou, Ming Jack Po, Jutta Williams, Scott Ellis, Gavin Bee, Avinatan Hassidim, Rony Amira, Genady Beryozkin, Idan Szpektor, Yossi Matias
2019 — conf
Audio De-identification - a New Entity Recognition Task.
NAACL-HLT (2)
Ido Cohn, Itay Laish, Genady Beryozkin, Gang Li, Izhak Shafran, Idan Szpektor, Tzvika Hartman, Avinatan Hassidim, Yossi Matias
2019 J jnl
Audio De-identification: A New Entity Recognition Task.
CoRR
Ido Cohn, Itay Laish, Genady Beryozkin, Gang Li, Izhak Shafran, Idan Szpektor, Tzvika Hartman, Avinatan Hassidim, Yossi Matias
2019 J jnl
Efficient Dynamic Approximate Distance Oracles for Vertex-Labeled Planar Graphs.
Theory Comput. Syst.
Itay Laish, Shay Mozes
2017 J jnl
Efficient Approximate Distance Oracles for Vertex-Labeled Planar Graphs.
CoRR
Itay Laish, Shay Mozes
2017 B conf
Efficient Dynamic Approximate Distance Oracles for Vertex-Labeled Planar Graphs.
WAOA
Itay Laish, Shay Mozes