Search Results for author:
Found 3 papers, 0 papers with code
Mallows-DPO: Fine-Tune Your LLM with Preference Dispersions
Direct Preference Optimization (DPO) has recently emerged as a popular approach to improve reinforcement learning with human feedback (RLHF), leading to better techniques to fine-tune large language models (LLM).
Score-based Diffusion Models via Stochastic Differential Equations -- a Technical Tutorial
This is an expository article on the score-based diffusion models, with a particular focus on the formulation via stochastic differential equations (SDE).
Contractive Diffusion Probabilistic Models
In view of possibly unguaranteed score matching, we propose a new criterion -- the contraction of backward sampling in the design of DPMs, leading to a novel class of contractive DPMs (CDPMs).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
