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Found 4 papers, 1 papers with code
From $r$ to $Q^*$: Your Language Model is Secretly a Q-Function
Standard RLHF deploys reinforcement learning in a specific token-level MDP, while DPO is derived as a bandit problem in which the whole response of the model is treated as a single arm.
Disentangling Length from Quality in Direct Preference Optimization
A number of approaches have been developed to control those biases in the classical RLHF literature, but the problem remains relatively under-explored for Direct Alignment Algorithms such as Direct Preference Optimization (DPO).
Preference Optimization for Molecular Language Models
Molecular language modeling is an effective approach to generating novel chemical structures.
EchoVest: Real-Time Sound Classification and Depth Perception Expressed through Transcutaneous Electrical Nerve Stimulation
EchoVest also provides various features, including sound localization, sound classification, noise reduction, and depth perception.
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