Collection by
Jan 3
Jan 3Collections
Discover the best community collections!
Collections including paper arxiv:2406.18629
Collection by
Oct 4, 2024
Oct 4, 2024-
Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs
Paper • 2407.00653 • Published • 13 -
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
Paper • 2406.18629 • Published • 42 -
Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities
Paper • 2406.14562 • Published • 28 -
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
Paper • 2406.04271 • Published • 30
Collection by
Aug 1, 2024
Aug 1, 2024-
Bootstrapping Language Models with DPO Implicit Rewards
Paper • 2406.09760 • Published • 41 -
BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM
Paper • 2406.12168 • Published • 7 -
WPO: Enhancing RLHF with Weighted Preference Optimization
Paper • 2406.11827 • Published • 16 -
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
Paper • 2406.18629 • Published • 42
Collection by
Jan 10
Jan 10-
RLHF Workflow: From Reward Modeling to Online RLHF
Paper • 2405.07863 • Published • 71 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 132 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 55 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 90
Collection by
1 day ago
1 day ago-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
Collection by
Jul 17, 2024
Jul 17, 2024-
Unlocking Continual Learning Abilities in Language Models
Paper • 2406.17245 • Published • 30 -
A Closer Look into Mixture-of-Experts in Large Language Models
Paper • 2406.18219 • Published • 17 -
Symbolic Learning Enables Self-Evolving Agents
Paper • 2406.18532 • Published • 12 -
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
Paper • 2406.18629 • Published • 42
Collection by
Jul 1, 2024
Jul 1, 2024Collection by
Oct 31, 2024
Oct 31, 2024-
WPO: Enhancing RLHF with Weighted Preference Optimization
Paper • 2406.11827 • Published • 16 -
Self-Improving Robust Preference Optimization
Paper • 2406.01660 • Published • 20 -
Bootstrapping Language Models with DPO Implicit Rewards
Paper • 2406.09760 • Published • 41 -
BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM
Paper • 2406.12168 • Published • 7
Collection by
Aug 26, 2024
Aug 26, 2024-
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
Paper • 2402.15627 • Published • 38 -
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 53 -
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks
Paper • 2403.00522 • Published • 46 -
Stealing Part of a Production Language Model
Paper • 2403.06634 • Published • 91
Collection by
Jul 19, 2024
Jul 19, 2024-
World Model on Million-Length Video And Language With RingAttention
Paper • 2402.08268 • Published • 40 -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 82 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
FiT: Flexible Vision Transformer for Diffusion Model
Paper • 2402.12376 • Published • 48
Collection by
Jan 3
Jan 3Collection by
Jul 17, 2024
Jul 17, 2024-
Unlocking Continual Learning Abilities in Language Models
Paper • 2406.17245 • Published • 30 -
A Closer Look into Mixture-of-Experts in Large Language Models
Paper • 2406.18219 • Published • 17 -
Symbolic Learning Enables Self-Evolving Agents
Paper • 2406.18532 • Published • 12 -
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
Paper • 2406.18629 • Published • 42
Collection by
Oct 4, 2024
Oct 4, 2024-
Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs
Paper • 2407.00653 • Published • 13 -
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
Paper • 2406.18629 • Published • 42 -
Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities
Paper • 2406.14562 • Published • 28 -
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
Paper • 2406.04271 • Published • 30
Collection by
Jul 1, 2024
Jul 1, 2024Collection by
Aug 1, 2024
Aug 1, 2024-
Bootstrapping Language Models with DPO Implicit Rewards
Paper • 2406.09760 • Published • 41 -
BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM
Paper • 2406.12168 • Published • 7 -
WPO: Enhancing RLHF with Weighted Preference Optimization
Paper • 2406.11827 • Published • 16 -
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
Paper • 2406.18629 • Published • 42
Collection by
Oct 31, 2024
Oct 31, 2024-
WPO: Enhancing RLHF with Weighted Preference Optimization
Paper • 2406.11827 • Published • 16 -
Self-Improving Robust Preference Optimization
Paper • 2406.01660 • Published • 20 -
Bootstrapping Language Models with DPO Implicit Rewards
Paper • 2406.09760 • Published • 41 -
BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM
Paper • 2406.12168 • Published • 7
Collection by
Jan 10
Jan 10-
RLHF Workflow: From Reward Modeling to Online RLHF
Paper • 2405.07863 • Published • 71 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 132 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 55 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 90
Collection by
Aug 26, 2024
Aug 26, 2024-
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
Paper • 2402.15627 • Published • 38 -
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 53 -
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks
Paper • 2403.00522 • Published • 46 -
Stealing Part of a Production Language Model
Paper • 2403.06634 • Published • 91
Collection by
1 day ago
1 day ago-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
Collection by
Jul 19, 2024
Jul 19, 2024-
World Model on Million-Length Video And Language With RingAttention
Paper • 2402.08268 • Published • 40 -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 82 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
FiT: Flexible Vision Transformer for Diffusion Model
Paper • 2402.12376 • Published • 48