Idan Shenfeld

23 papers A* 5A 1Journal 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Aligning Language Models from User Interactions.
CoRR
Thomas Kleine Buening, Jonas Hübotter, Barna Pásztor, Idan Shenfeld, Giorgia Ramponi, Andreas Krause
2026 J jnl
Reaching Beyond the Mode: RL for Distributional Reasoning in Language Models.
CoRR
Isha Puri, Mehul Damani, Idan Shenfeld, Marzyeh Ghassemi, Jacob Andreas, Yoon Kim
2026 J jnl
Reinforcement Learning via Self-Distillation.
CoRR
Jonas Hübotter, Frederike Lübeck, Lejs Behric, Anton Baumann, Marco Bagatella, Daniel Marta, Ido Hakimi, Idan Shenfeld, Thomas Kleine Buening, Carlos Guestrin, Andreas Krause
2026 J jnl
Self-Distillation Enables Continual Learning.
CoRR
Idan Shenfeld, Mehul Damani, Jonas Hübotter, Pulkit Agrawal
2025 J jnl
Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis.
CoRR
Gholamali Aminian, Idan Shenfeld, Amir R. Asadi, Ahmad Beirami, Youssef Mroueh
2025 J jnl
Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty.
CoRR
Mehul Damani, Isha Puri, Stewart Slocum, Idan Shenfeld, Leshem Choshen, Yoon Kim, Jacob Andreas
2025 A* conf
From Imitation to Refinement - Residual Rl for Precise Assembly.
ICRA
Lars Ankile, Anthony Simeonov, Idan Shenfeld, Marcel Torne, Pulkit Agrawal
2025 J jnl
LLM Hypnosis: Exploiting User Feedback for Unauthorized Knowledge Injection to All Users.
CoRR
Almog Hilel, Idan Shenfeld, Jacob Andreas, Leshem Choshen
2025 J jnl
Language Model Personalization via Reward Factorization.
CoRR
Idan Shenfeld, Felix Faltings, Pulkit Agrawal, Aldo Pacchiano
2025 A* conf
Learning How Hard to Think: Input-Adaptive Allocation of LM Computation.
ICLR
Mehul Damani, Idan Shenfeld, Andi Peng, Andreea Bobu, Jacob Andreas
2025 J jnl
RL's Razor: Why Online Reinforcement Learning Forgets Less.
CoRR
Idan Shenfeld, Jyothish Pari, Pulkit Agrawal
2025 J jnl
Theoretical Analysis of KL-regularized RLHF with Multiple Reference Models.
CoRR
Gholamali Aminian, Amir R. Asadi, Idan Shenfeld, Youssef Mroueh
2024 A* conf
Curiosity-driven Red-teaming for Large Language Models.
ICLR
Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo Pareja, James R. Glass, Akash Srivastava, Pulkit Agrawal
2024 J jnl
Curiosity-driven Red-teaming for Large Language Models.
CoRR
Zhang-Wei Hong, Idan Shenfeld, Tsun-Hsuan Wang, Yung-Sung Chuang, Aldo Pareja, James R. Glass, Akash Srivastava, Pulkit Agrawal
2024 J jnl
From Imitation to Refinement - Residual RL for Precise Visual Assembly.
CoRR
Lars Ankile, Anthony Simeonov, Idan Shenfeld, Marcel Torne, Pulkit Agrawal
2024 A conf
JUICER: Data-Efficient Imitation Learning for Robotic Assembly.
IROS
Lars Ankile, Anthony Simeonov, Idan Shenfeld, Pulkit Agrawal
2024 J jnl
JUICER: Data-Efficient Imitation Learning for Robotic Assembly.
CoRR
Lars Ankile, Anthony Simeonov, Idan Shenfeld, Pulkit Agrawal
2024 J jnl
Learning How Hard to Think: Input-Adaptive Allocation of LM Computation.
CoRR
Mehul Damani, Idan Shenfeld, Andi Peng, Andreea Bobu, Jacob Andreas
2024 J jnl
The Future of Open Human Feedback.
CoRR
Shachar Don-Yehiya, Ben Burtenshaw, Ramón Fernandez Astudillo, Cailean Osborne, Mimansa Jaiswal, Tzu-Sheng Kuo, Wenting Zhao, Idan Shenfeld, Andi Peng, Mikhail Yurochkin, Atoosa Kasirzadeh, Yangsibo Huang, Tatsunori Hashimoto, Yacine Jernite, Daniel Vila-Suero, Omri Abend, Jennifer Ding, Sara Hooker, Hannah Rose Kirk, Leshem Choshen
2024 J jnl
Value Augmented Sampling for Language Model Alignment and Personalization.
CoRR
Seungwook Han, Idan Shenfeld, Akash Srivastava, Yoon Kim, Pulkit Agrawal
2023 A* conf
TGRL: An Algorithm for Teacher Guided Reinforcement Learning.
ICML
Idan Shenfeld, Zhang-Wei Hong, Aviv Tamar, Pulkit Agrawal
2023 J jnl
TGRL: An Algorithm for Teacher Guided Reinforcement Learning.
CoRR
Idan Shenfeld, Zhang-Wei Hong, Aviv Tamar, Pulkit Agrawal
2021 A* conf
Offline Meta Reinforcement Learning - Identifiability Challenges and Effective Data Collection Strategies.
NeurIPS
Ron Dorfman, Idan Shenfeld, Aviv Tamar