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about 4 hours ago
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Collections including paper arxiv:2409.11402
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1 day ago
1 day ago
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Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 109 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 54 -
Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming
Paper • 2408.16725 • Published • 49 -
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
Paper • 2408.15998 • Published • 81
Collection by
2 days ago
2 days ago
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VILA^2: VILA Augmented VILA
Paper • 2407.17453 • Published • 38 -
Octopus v4: Graph of language models
Paper • 2404.19296 • Published • 118 -
Octo-planner: On-device Language Model for Planner-Action Agents
Paper • 2406.18082 • Published • 47 -
Recursive Introspection: Teaching Language Model Agents How to Self-Improve
Paper • 2407.18219 • Published • 3
Collection by
1 day ago
1 day ago
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Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Paper • 2406.16860 • Published • 55 -
Understanding Alignment in Multimodal LLMs: A Comprehensive Study
Paper • 2407.02477 • Published • 21 -
LongVILA: Scaling Long-Context Visual Language Models for Long Videos
Paper • 2408.10188 • Published • 51 -
Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 109
Collection by
about 13 hours ago
about 13 hours ago
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SelfEval: Leveraging the discriminative nature of generative models for evaluation
Paper • 2311.10708 • Published • 14 -
OmniGen: Unified Image Generation
Paper • 2409.11340 • Published • 52 -
NVLM: Open Frontier-Class Multimodal LLMs
Paper • 2409.11402 • Published • 47 -
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 24
Collection by
about 22 hours ago
about 22 hours ago
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iVideoGPT: Interactive VideoGPTs are Scalable World Models
Paper • 2405.15223 • Published • 11 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 52 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 84 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 30
Collection by
1 day ago
1 day ago
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MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 123 -
Evolutionary Optimization of Model Merging Recipes
Paper • 2403.13187 • Published • 49 -
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model
Paper • 2402.03766 • Published • 12 -
LLM Agent Operating System
Paper • 2403.16971 • Published • 64
Collection by
32 minutes ago
32 minutes ago
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MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
Paper • 2402.15627 • Published • 33 -
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
Paper • 2402.16822 • Published • 15 -
FuseChat: Knowledge Fusion of Chat Models
Paper • 2402.16107 • Published • 36 -
Multi-LoRA Composition for Image Generation
Paper • 2402.16843 • Published • 28
Collection by
2 days ago
2 days ago
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 25 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 12 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 36 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 19
Collection by
about 5 hours ago
about 5 hours ago
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 21 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 78 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 140 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25