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Papers
Daily updated cutting-edge AI research papers to help you keep up with the latest AI trends

HoloCine: Holistic Generation of Cinematic Multi-Shot Long Video Narratives

Open-o3 Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence





























HoloCine: Holistic Generation of Cinematic Multi-Shot Long Video Narratives

Open-o3 Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence




























AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders
Human-Agent Collaborative Paper-to-Page Crafting for Under $0.1
See the Text: From Tokenization to Visual Reading
Directional Reasoning Injection for Fine-Tuning MLLMs
Language Models are Injective and Hence Invertible
The Free Transformer
Quantum Processing Unit (QPU) processing time Prediction with Machine Learning
Observation of constructive interference at the edge of quantum ergodicity
VideoAgentTrek: Computer Use Pretraining from Unlabeled Videos
GigaBrain-0: A World Model-Powered Vision-Language-Action Model
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts
BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
Every Attention Matters: An Efficient Hybrid Architecture for Long-Context Reasoning
Color Me Correctly: Bridging Perceptual Color Spaces and Text Embeddings for Improved Diffusion Generation
Spatial Reasoning with Vision-Language Models in Ego-Centric Multi-View Scenes
LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios
FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies
Inpainting-Guided Policy Optimization for Diffusion Large Language Models
MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools
A Survey on Cache Methods in Diffusion Models: Toward Efficient Multi-Modal Generation
Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks
Spatially-Varying Autofocus
When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling
Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
FineVision: Open Data Is All You Need
Glyph: Scaling Context Windows via Visual-Text Compression
PICABench: How Far Are We from Physically Realistic Image Editing?
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
Self-Attention to Operator Learning-based 3D-IC Thermal Simulation
Earth AI: Unlocking Geospatial Insights with Foundation Models and Cross-Modal Reasoning
AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders
Human-Agent Collaborative Paper-to-Page Crafting for Under $0.1
See the Text: From Tokenization to Visual Reading
Directional Reasoning Injection for Fine-Tuning MLLMs
Language Models are Injective and Hence Invertible
The Free Transformer
Quantum Processing Unit (QPU) processing time Prediction with Machine Learning
Observation of constructive interference at the edge of quantum ergodicity
VideoAgentTrek: Computer Use Pretraining from Unlabeled Videos
GigaBrain-0: A World Model-Powered Vision-Language-Action Model
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts
BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
Every Attention Matters: An Efficient Hybrid Architecture for Long-Context Reasoning
Color Me Correctly: Bridging Perceptual Color Spaces and Text Embeddings for Improved Diffusion Generation
Spatial Reasoning with Vision-Language Models in Ego-Centric Multi-View Scenes
LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios
FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies
Inpainting-Guided Policy Optimization for Diffusion Large Language Models
MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools
A Survey on Cache Methods in Diffusion Models: Toward Efficient Multi-Modal Generation
Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks
Spatially-Varying Autofocus
When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling
Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
FineVision: Open Data Is All You Need
Glyph: Scaling Context Windows via Visual-Text Compression
PICABench: How Far Are We from Physically Realistic Image Editing?
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
Self-Attention to Operator Learning-based 3D-IC Thermal Simulation
Earth AI: Unlocking Geospatial Insights with Foundation Models and Cross-Modal Reasoning