Summary of Ra-pbrl: Provably Efficient Risk-aware Preference-based Reinforcement Learning, by Yujie Zhao et al.
RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learningby Yujie Zhao, Jose Efraim Aguilar Escamill, Weyl Lu,…
Summary of Comal: a Convergent Meta-algorithm For Aligning Llms with General Preferences, by Yixin Liu et al.
COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferencesby Yixin Liu, Argyris Oikonomou, Weiqiang…
Summary of Vpo: Leveraging the Number Of Votes in Preference Optimization, by Jae Hyeon Cho et al.
VPO: Leveraging the Number of Votes in Preference Optimizationby Jae Hyeon Cho, Minkyung Park, Byung-Jun…
Summary of Uncertainty-penalized Direct Preference Optimization, by Sam Houliston et al.
Uncertainty-Penalized Direct Preference Optimizationby Sam Houliston, Alizée Pace, Alexander Immer, Gunnar RätschFirst submitted to arxiv…
Summary of Exploring Rl-based Llm Training For Formal Language Tasks with Programmed Rewards, by Alexander G. Padula and Dennis J.n.j. Soemers
Exploring RL-based LLM Training for Formal Language Tasks with Programmed Rewardsby Alexander G. Padula, Dennis…
Summary of On the Global Convergence Of Online Rlhf with Neural Parametrization, by Mudit Gaur et al.
On The Global Convergence Of Online RLHF With Neural Parametrizationby Mudit Gaur, Amrit Singh Bedi,…
Summary of How to Evaluate Reward Models For Rlhf, by Evan Frick et al.
How to Evaluate Reward Models for RLHFby Evan Frick, Tianle Li, Connor Chen, Wei-Lin Chiang,…
Summary of Personalized Adaptation Via In-context Preference Learning, by Allison Lau et al.
Personalized Adaptation via In-Context Preference Learningby Allison Lau, Younwoo Choi, Vahid Balazadeh, Keertana Chidambaram, Vasilis…
Summary of A Common Pitfall Of Margin-based Language Model Alignment: Gradient Entanglement, by Hui Yuan et al.
A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglementby Hui Yuan, Yifan Zeng, Yue…
Summary of Generative Reward Models, by Dakota Mahan et al.
Generative Reward Modelsby Dakota Mahan, Duy Van Phung, Rafael Rafailov, Chase Blagden, Nathan Lile, Louis…