Collection by 
Oct 1, 2025
Collections
Discover the best community collections!
Collections including paper arxiv:2509.25182
Collection by 
Oct 30, 2025
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Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
Paper • 2504.02821 • Published • 10 -
TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos
Paper • 2504.17343 • Published • 13 -
ViSMaP: Unsupervised Hour-long Video Summarisation by Meta-Prompting
Paper • 2504.15921 • Published • 7 -
Causal-Copilot: An Autonomous Causal Analysis Agent
Paper • 2504.13263 • Published • 7
Collection by 
3 days ago
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WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
Paper • 2401.09985 • Published • 18 -
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects
Paper • 2401.09962 • Published • 9 -
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution
Paper • 2401.10404 • Published • 10 -
ActAnywhere: Subject-Aware Video Background Generation
Paper • 2401.10822 • Published • 13
Collection by 
8 days ago
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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 • 19 -
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
Collection by 
Jan 12
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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 • 15 -
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 Oct 1, 2025
Collection by 8 days ago
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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 • 19 -
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
Collection by Oct 30, 2025
-
Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
Paper • 2504.02821 • Published • 10 -
TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos
Paper • 2504.17343 • Published • 13 -
ViSMaP: Unsupervised Hour-long Video Summarisation by Meta-Prompting
Paper • 2504.15921 • Published • 7 -
Causal-Copilot: An Autonomous Causal Analysis Agent
Paper • 2504.13263 • Published • 7
Collection by Jan 12
-
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 • 15 -
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 3 days ago
-
WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
Paper • 2401.09985 • Published • 18 -
CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects
Paper • 2401.09962 • Published • 9 -
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution
Paper • 2401.10404 • Published • 10 -
ActAnywhere: Subject-Aware Video Background Generation
Paper • 2401.10822 • Published • 13