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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 • 50 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 44
Collections
Discover the best community collections!
Collections including paper arxiv:2406.19774
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RLHF Workflow: From Reward Modeling to Online RLHF
Paper • 2405.07863 • Published • 67 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 126 -
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
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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
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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
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MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
Paper • 2402.15627 • Published • 34 -
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 49 -
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks
Paper • 2403.00522 • Published • 44 -
Stealing Part of a Production Language Model
Paper • 2403.06634 • Published • 90