-
RLHF Workflow: From Reward Modeling to Online RLHF
Paper • 2405.07863 • Published • 67 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 125 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 53 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 85
Collections
Discover the best community collections!
Collections including paper arxiv:2407.00782
-
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 143 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 11 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 49 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 44
-
Internal Consistency and Self-Feedback in Large Language Models: A Survey
Paper • 2407.14507 • Published • 46 -
New Desiderata for Direct Preference Optimization
Paper • 2407.09072 • Published • 9 -
Self-Recognition in Language Models
Paper • 2407.06946 • Published • 24 -
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
Paper • 2407.04842 • Published • 52
-
WPO: Enhancing RLHF with Weighted Preference Optimization
Paper • 2406.11827 • Published • 14 -
Self-Improving Robust Preference Optimization
Paper • 2406.01660 • Published • 18 -
Bootstrapping Language Models with DPO Implicit Rewards
Paper • 2406.09760 • Published • 38 -
BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM
Paper • 2406.12168 • Published • 7
-
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Paper • 2310.03731 • Published • 29 -
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
Paper • 2308.07921 • Published • 22 -
Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset
Paper • 2402.14804 • Published • 2 -
MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs
Paper • 2402.16352 • Published • 1
-
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
Paper • 2403.02884 • Published • 15 -
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Paper • 2402.03300 • Published • 69 -
Improving Small Language Models' Mathematical Reasoning via Mix Thoughts Distillation
Paper • 2401.11864 • Published • 2 -
Common 7B Language Models Already Possess Strong Math Capabilities
Paper • 2403.04706 • Published • 16
-
Trusted Source Alignment in Large Language Models
Paper • 2311.06697 • Published • 10 -
Diffusion Model Alignment Using Direct Preference Optimization
Paper • 2311.12908 • Published • 47 -
SuperHF: Supervised Iterative Learning from Human Feedback
Paper • 2310.16763 • Published • 1 -
Enhancing Diffusion Models with Text-Encoder Reinforcement Learning
Paper • 2311.15657 • Published • 2