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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
Collections
Discover the best community collections!
Collections including paper arxiv:2510.02283
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Self-Forcing++: Towards Minute-Scale High-Quality Video Generation
Paper • 2510.02283 • Published • 95 -
Paper2Video: Automatic Video Generation from Scientific Papers
Paper • 2510.05096 • Published • 116 -
LongLive: Real-time Interactive Long Video Generation
Paper • 2509.22622 • Published • 184 -
HuMo: Human-Centric Video Generation via Collaborative Multi-Modal Conditioning
Paper • 2509.08519 • Published • 128
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Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 18 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
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The Leaderboard Illusion
Paper • 2504.20879 • Published • 72 -
SmolVLM: Redefining small and efficient multimodal models
Paper • 2504.05299 • Published • 200 -
Seedance 1.0: Exploring the Boundaries of Video Generation Models
Paper • 2506.09113 • Published • 104 -
Small Language Models are the Future of Agentic AI
Paper • 2506.02153 • Published • 22
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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
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Reconstruction Alignment Improves Unified Multimodal Models
Paper • 2509.07295 • Published • 40 -
F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions
Paper • 2509.06951 • Published • 31 -
UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward
Paper • 2509.06818 • Published • 29 -
Interleaving Reasoning for Better Text-to-Image Generation
Paper • 2509.06945 • Published • 14
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Seedance 1.0: Exploring the Boundaries of Video Generation Models
Paper • 2506.09113 • Published • 104 -
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Paper • 2506.08009 • Published • 30 -
Seeing Voices: Generating A-Roll Video from Audio with Mirage
Paper • 2506.08279 • Published • 27 -
PolyVivid: Vivid Multi-Subject Video Generation with Cross-Modal Interaction and Enhancement
Paper • 2506.07848 • Published • 4
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InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
Paper • 2404.06512 • Published • 30 -
Adapting LLaMA Decoder to Vision Transformer
Paper • 2404.06773 • Published • 18 -
Quantized Visual Geometry Grounded Transformer
Paper • 2509.21302 • Published • 8 -
Hyperspherical Latents Improve Continuous-Token Autoregressive Generation
Paper • 2509.24335 • Published • 8
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
Self-Forcing++: Towards Minute-Scale High-Quality Video Generation
Paper • 2510.02283 • Published • 95 -
Paper2Video: Automatic Video Generation from Scientific Papers
Paper • 2510.05096 • Published • 116 -
LongLive: Real-time Interactive Long Video Generation
Paper • 2509.22622 • Published • 184 -
HuMo: Human-Centric Video Generation via Collaborative Multi-Modal Conditioning
Paper • 2509.08519 • Published • 128
-
Reconstruction Alignment Improves Unified Multimodal Models
Paper • 2509.07295 • Published • 40 -
F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions
Paper • 2509.06951 • Published • 31 -
UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward
Paper • 2509.06818 • Published • 29 -
Interleaving Reasoning for Better Text-to-Image Generation
Paper • 2509.06945 • Published • 14
-
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 18 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
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Seedance 1.0: Exploring the Boundaries of Video Generation Models
Paper • 2506.09113 • Published • 104 -
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Paper • 2506.08009 • Published • 30 -
Seeing Voices: Generating A-Roll Video from Audio with Mirage
Paper • 2506.08279 • Published • 27 -
PolyVivid: Vivid Multi-Subject Video Generation with Cross-Modal Interaction and Enhancement
Paper • 2506.07848 • Published • 4
-
The Leaderboard Illusion
Paper • 2504.20879 • Published • 72 -
SmolVLM: Redefining small and efficient multimodal models
Paper • 2504.05299 • Published • 200 -
Seedance 1.0: Exploring the Boundaries of Video Generation Models
Paper • 2506.09113 • Published • 104 -
Small Language Models are the Future of Agentic AI
Paper • 2506.02153 • Published • 22
-
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
Paper • 2404.06512 • Published • 30 -
Adapting LLaMA Decoder to Vision Transformer
Paper • 2404.06773 • Published • 18 -
Quantized Visual Geometry Grounded Transformer
Paper • 2509.21302 • Published • 8 -
Hyperspherical Latents Improve Continuous-Token Autoregressive Generation
Paper • 2509.24335 • Published • 8
-
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