Lior Shani

According to our database, Lior Shani authored at least 19 papers between 2018 and 2026.

Collaborative distances:

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

2026

Latent Reasoning with Supervised Thinking States.

Ido Amos, Avi Caciularu, Mor Geva, Amir Globerson, Jonathan Herzig, Lior Shani, Idan Szpektor

CoRR, February, 2026

2025

Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces.

Haitong Ma, Ofir Nabati, Aviv Rosenberg, Bo Dai, Oran Lang, Idan Szpektor, Craig Boutilier, Na Li, Shie Mannor, Lior Shani, Guy Tennenholtz

CoRR, September, 2025

Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward.

Yanming Wan, Jiaxing Wu, Marwa Abdulhai, Lior Shani, Natasha Jaques

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Embedding-Aligned Language Models.

Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Lior Shani, Ethan Liang, Craig Boutilier

CoRR, 2024

Offline Regularised Reinforcement Learning for Large Language Models Alignment.

Pierre Harvey Richemond, Yunhao Tang, Daniel Guo, Daniele Calandriello, Mohammad Gheshlaghi Azar, Rafael Rafailov, Bernardo Ávila Pires, Eugene Tarassov, Lucas Spangher, Will Ellsworth, Aliaksei Severyn, Jonathan Mallinson, Lior Shani, Gil Shamir, Rishabh Joshi, Tianqi Liu, Rémi Munos, Bilal Piot

CoRR, 2024

Multi-turn Reinforcement Learning from Preference Human Feedback.

Lior Shani, Aviv Rosenberg, Asaf B. Cassel, Oran Lang, Daniele Calandriello, Avital Zipori, Hila Noga, Orgad Keller, Bilal Piot, Idan Szpektor, Avinatan Hassidim, Yossi Matias, Rémi Munos

CoRR, 2024

Embedding-Aligned Language Models.

Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Lior Shani, Yi Liang, Craig Boutilier

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-turn Reinforcement Learning with Preference Human Feedback.

Lior Shani, Aviv Rosenberg, Asaf Cassel, Oran Lang, Daniele Calandriello, Avital Zipori, Hila Noga, Orgad Keller, Bilal Piot, Idan Szpektor, Avinatan Hassidim, Yossi Matias, Rémi Munos

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Demystifying Embedding Spaces using Large Language Models.

Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Reinforcement Learning with History Dependent Dynamic Contexts.

Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier

Proceedings of the International Conference on Machine Learning, 2023

Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback.

Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Léonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos Garea, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Reinforcement Learning with a Terminator.

Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Mirror Descent Policy Optimization.

Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh

Proceedings of the Tenth International Conference on Learning Representations, 2022

Online Apprenticeship Learning.

Lior Shani, Tom Zahavy, Shie Mannor

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

2020

Optimistic Policy Optimization with Bandit Feedback.

Lior Shani, Yonathan Efroni, Aviv Rosenberg, Shie Mannor

Proceedings of the 37th International Conference on Machine Learning, 2020

Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs.

Lior Shani, Yonathan Efroni, Shie Mannor

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

2019

Exploration Conscious Reinforcement Learning Revisited.

Lior Shani, Yonathan Efroni, Shie Mannor

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Multi Instance Learning For Unbalanced Data.

Mark Kozdoba, Edward Moroshko, Lior Shani, Takuya Takagi, Takashi Katoh, Shie Mannor, Koby Crammer

CoRR, 2018

Revisiting Exploration-Conscious Reinforcement Learning.

Lior Shani, Yonathan Efroni, Shie Mannor

CoRR, 2018