mDPO: Conditional Preference Optimization for Multimodal Large Language Models
Paper
•
2406.11839
•
Published
•
37
Papers to Read
-
-
Pandora: Towards General World Model with Natural Language Actions and Video States
Paper • 2406.09455 • Published • 14 -
WPO: Enhancing RLHF with Weighted Preference Optimization
Paper • 2406.11827 • Published • 14 -
In-Context Editing: Learning Knowledge from Self-Induced Distributions
Paper • 2406.11194 • Published • 15 -
Breaking the Attention Bottleneck
Paper • 2406.10906 • Published • 4 -
Deep Bayesian Active Learning for Preference Modeling in Large Language Models
Paper • 2406.10023 • Published • 2 -
RVT-2: Learning Precise Manipulation from Few Demonstrations
Paper • 2406.08545 • Published • 7 -
Depth Anything V2
Paper • 2406.09414 • Published • 92 -
Transformers meet Neural Algorithmic Reasoners
Paper • 2406.09308 • Published • 43 -
Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
Paper • 2406.07522 • Published • 37 -
MotionClone: Training-Free Motion Cloning for Controllable Video Generation
Paper • 2406.05338 • Published • 39 -
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
Paper • 2406.06469 • Published • 23 -
RePLan: Robotic Replanning with Perception and Language Models
Paper • 2401.04157 • Published • 3 -
Generative Expressive Robot Behaviors using Large Language Models
Paper • 2401.14673 • Published • 5 -
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms
Paper • 2406.02900 • Published • 10 -
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs
Paper • 2406.02886 • Published • 7 -
Self-Improving Robust Preference Optimization
Paper • 2406.01660 • Published • 18 -
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 • 13 -
Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF
Paper • 2405.19320 • Published • 9 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 85 -
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
Paper • 2405.11143 • Published • 33 -
Octo: An Open-Source Generalist Robot Policy
Paper • 2405.12213 • Published • 23 -
TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction
Paper • 2405.10315 • Published • 10 -
RLHF Workflow: From Reward Modeling to Online RLHF
Paper • 2405.07863 • Published • 67 -
Self-Play Preference Optimization for Language Model Alignment
Paper • 2405.00675 • Published • 24 -
Iterative Reasoning Preference Optimization
Paper • 2404.19733 • Published • 47 -
KAN: Kolmogorov-Arnold Networks
Paper • 2404.19756 • Published • 108 -
A Multimodal Automated Interpretability Agent
Paper • 2404.14394 • Published • 20 -
Learning H-Infinity Locomotion Control
Paper • 2404.14405 • Published • 6 -
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment
Paper • 2404.12318 • Published • 14 -
Scaling Instructable Agents Across Many Simulated Worlds
Paper • 2404.10179 • Published • 26 -
Learn Your Reference Model for Real Good Alignment
Paper • 2404.09656 • Published • 82 -
Dataset Reset Policy Optimization for RLHF
Paper • 2404.08495 • Published • 8 -
UniFL: Improve Stable Diffusion via Unified Feedback Learning
Paper • 2404.05595 • Published • 23 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 60 -
Robust Gaussian Splatting
Paper • 2404.04211 • Published • 8 -
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation
Paper • 2404.03673 • Published • 14