mDPO: Conditional Preference Optimization for Multimodal Large Language Models
Paper
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2406.11839
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Published
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36
Papers to Read
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Pandora: Towards General World Model with Natural Language Actions and Video States
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WPO: Enhancing RLHF with Weighted Preference Optimization
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In-Context Editing: Learning Knowledge from Self-Induced Distributions
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Breaking the Attention Bottleneck
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Deep Bayesian Active Learning for Preference Modeling in Large Language Models
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RVT-2: Learning Precise Manipulation from Few Demonstrations
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Depth Anything V2
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Transformers meet Neural Algorithmic Reasoners
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MotionClone: Training-Free Motion Cloning for Controllable Video Generation
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Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
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Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms
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PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs
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Self-Improving Robust Preference Optimization
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MotionLLM: Understanding Human Behaviors from Human Motions and Videos
Paper • 2405.20340 • Published • 19 -
Offline Regularised Reinforcement Learning for Large Language Models Alignment
Paper • 2405.19107 • Published • 12 -
Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF
Paper • 2405.19320 • Published • 9 -
An Introduction to Vision-Language Modeling
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OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
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Octo: An Open-Source Generalist Robot Policy
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TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction
Paper • 2405.10315 • Published • 9 -
RLHF Workflow: From Reward Modeling to Online RLHF
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Self-Play Preference Optimization for Language Model Alignment
Paper • 2405.00675 • Published • 20 -
Iterative Reasoning Preference Optimization
Paper • 2404.19733 • Published • 45 -
KAN: Kolmogorov-Arnold Networks
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A Multimodal Automated Interpretability Agent
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Learning H-Infinity Locomotion Control
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Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment
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Scaling Instructable Agents Across Many Simulated Worlds
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Learn Your Reference Model for Real Good Alignment
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Dataset Reset Policy Optimization for RLHF
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UniFL: Improve Stable Diffusion via Unified Feedback Learning
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Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 58 -
Robust Gaussian Splatting
Paper • 2404.04211 • Published • 7 -
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation
Paper • 2404.03673 • Published • 14