Semi-Supervised Preference Optimization with Limited Feedback
"偏好优化" 相关文章
Meta-Learning Objectives for Preference Optimization
RePO: Understanding Preference Learning Through ReLU-Based Optimization
TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees
ADPO: Anchored Direct Preference Optimization
Mix- and MoE-DPO: A Variational Inference Approach to Direct Preference Optimization
Provably Mitigating Corruption, Overoptimization, and Verbosity Simultaneously in Offline and Online RLHF/DPO Alignment
Margin Adaptive DPO: Leveraging Reward Model for Granular Control in Preference Optimization
From Noisy Traces to Stable Gradients: Bias-Variance Optimized Preference Optimization for Aligning Large Reasoning Models
From Noisy Traces to Stable Gradients: Bias-Variance Optimized Preference Optimization for Aligning Large Reasoning Models
Emotion-Aligned Generation in Diffusion Text to Speech Models via Preference-Guided Optimization
Alignment through Meta-Weighted Online Sampling: Bridging the Gap between Data Generation and Preference Optimization
Adaptive Margin RLHF via Preference over Preferences
USB-Rec: An Effective Framework for Improving Conversational Recommendation Capability of Large Language Model
LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization
TGPO: Tree-Guided Preference Optimization for Robust Web Agent Reinforcement Learning
The Anatomy of Alignment: Decomposing Preference Optimization by Steering Sparse Features
Building Coding Agents via Entropy-Enhanced Multi-Turn Preference Optimization
TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making
Selective Preference Optimization via Token-Level Reward Function Estimation
