Collections
Discover the best community collections!
Collections including paper arxiv:2409.12568
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Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 132 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 64 -
Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming
Paper • 2408.16725 • Published • 54 -
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
Paper • 2408.15998 • Published • 88
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apple/OpenELM-3B
Text Generation • 3B • Updated • 380 • 124 -
deepseek-ai/DeepSeek-V2.5
Text Generation • 236B • Updated • 1.82k • • 725 -
InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning
Paper • 2409.12568 • Published • 51 -
NTQAI/Nxcode-CQ-7B-orpo
Text Generation • 7B • Updated • 1.66k • 139
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RLHF Workflow: From Reward Modeling to Online RLHF
Paper • 2405.07863 • Published • 72 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 131 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 56 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 90
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Getting it Right: Improving Spatial Consistency in Text-to-Image Models
Paper • 2404.01197 • Published • 32 -
CosmicMan: A Text-to-Image Foundation Model for Humans
Paper • 2404.01294 • Published • 16 -
mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus
Paper • 2406.08707 • Published • 17 -
DataComp-LM: In search of the next generation of training sets for language models
Paper • 2406.11794 • Published • 54
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MambaVision: A Hybrid Mamba-Transformer Vision Backbone
Paper • 2407.08083 • Published • 33 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 64 -
The Mamba in the Llama: Distilling and Accelerating Hybrid Models
Paper • 2408.15237 • Published • 43 -
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 32
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SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers
Paper • 2407.09413 • Published • 11 -
MAVIS: Mathematical Visual Instruction Tuning
Paper • 2407.08739 • Published • 34 -
Kvasir-VQA: A Text-Image Pair GI Tract Dataset
Paper • 2409.01437 • Published • 72 -
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
Paper • 2409.05840 • Published • 50
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CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data
Paper • 2404.15653 • Published • 30 -
MoDE: CLIP Data Experts via Clustering
Paper • 2404.16030 • Published • 15 -
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Paper • 2405.12130 • Published • 51 -
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
Paper • 2405.12981 • Published • 34
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MathScale: Scaling Instruction Tuning for Mathematical Reasoning
Paper • 2403.02884 • Published • 17 -
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Paper • 2402.03300 • Published • 127 -
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 • 21
-
Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 132 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 64 -
Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming
Paper • 2408.16725 • Published • 54 -
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
Paper • 2408.15998 • Published • 88
-
MambaVision: A Hybrid Mamba-Transformer Vision Backbone
Paper • 2407.08083 • Published • 33 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 64 -
The Mamba in the Llama: Distilling and Accelerating Hybrid Models
Paper • 2408.15237 • Published • 43 -
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 32
-
apple/OpenELM-3B
Text Generation • 3B • Updated • 380 • 124 -
deepseek-ai/DeepSeek-V2.5
Text Generation • 236B • Updated • 1.82k • • 725 -
InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning
Paper • 2409.12568 • Published • 51 -
NTQAI/Nxcode-CQ-7B-orpo
Text Generation • 7B • Updated • 1.66k • 139
-
SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers
Paper • 2407.09413 • Published • 11 -
MAVIS: Mathematical Visual Instruction Tuning
Paper • 2407.08739 • Published • 34 -
Kvasir-VQA: A Text-Image Pair GI Tract Dataset
Paper • 2409.01437 • Published • 72 -
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
Paper • 2409.05840 • Published • 50
-
RLHF Workflow: From Reward Modeling to Online RLHF
Paper • 2405.07863 • Published • 72 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 131 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 56 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 90
-
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data
Paper • 2404.15653 • Published • 30 -
MoDE: CLIP Data Experts via Clustering
Paper • 2404.16030 • Published • 15 -
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Paper • 2405.12130 • Published • 51 -
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
Paper • 2405.12981 • Published • 34
-
Getting it Right: Improving Spatial Consistency in Text-to-Image Models
Paper • 2404.01197 • Published • 32 -
CosmicMan: A Text-to-Image Foundation Model for Humans
Paper • 2404.01294 • Published • 16 -
mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus
Paper • 2406.08707 • Published • 17 -
DataComp-LM: In search of the next generation of training sets for language models
Paper • 2406.11794 • Published • 54
-
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
Paper • 2403.02884 • Published • 17 -
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Paper • 2402.03300 • Published • 127 -
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 • 21