Understanding the performance gap between online and offline alignment algorithms
Paper
• 2405.08448 • Published
• 18
Alignment
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Self-Exploring Language Models: Active Preference Elicitation for Online Alignment
Paper • 2405.19332 • Published • 22 -
Offline Regularised Reinforcement Learning for Large Language Models Alignment
Paper • 2405.19107 • Published • 15 -
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback
Paper • 2406.00888 • Published • 33 -
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms
Paper • 2406.02900 • Published • 13 -
BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM
Paper • 2406.12168 • Published • 7 -
Deep Bayesian Active Learning for Preference Modeling in Large Language Models
Paper • 2406.10023 • Published • 2 -
Bootstrapping Language Models with DPO Implicit Rewards
Paper • 2406.09760 • Published • 41 -
Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle
Paper • 2407.13833 • Published • 12 -
Baichuan Alignment Technical Report
Paper • 2410.14940 • Published • 51