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

CoInteract: Physically-Consistent Human-Object Interaction Video Synthesis via Spatially-Structured Co-Generation

Tstars-Tryon 1.0: Robust and Realistic Virtual Try-On for Diverse Fashion Items































CoInteract: Physically-Consistent Human-Object Interaction Video Synthesis via Spatially-Structured Co-Generation

Tstars-Tryon 1.0: Robust and Realistic Virtual Try-On for Diverse Fashion Items






























Fast NF4 Dequantization Kernels for Large Language Model Inference
EasyVideoR1: Easier RL for Video Understanding
MultiWorld: Scalable Multi-Agent Multi-View Video World Models
OpenGame: Open Agentic Coding for Games
Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence
OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation
Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image
Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuracy
UI-TARS: Pioneering Automated GUI Interaction with Native Agents
HunyuanVideo: A Systematic Framework for Large Video Generative Models
MathNet: A Global Multimodal Benchmark for Mathematical Reasoning and Retrieval
Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering
Active Context Compression: Autonomous Memory Management in LLM Agents
Cut Your Losses! Learning to Prune Paths Early for Efficient Parallel Reasoning
Qwen3.5-Omni Technical Report
Web Retrieval-Aware Chunking (W-RAC) for Efficient and Cost-Effective Retrieval-Augmented Generation Systems
PersonaVLM: Long-Term Personalized Multimodal LLMs
Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips
Elucidating the SNR-t Bias of Diffusion Probabilistic Models
Multimodal OCR: Parse Anything from Documents
Granite-speech: open-source speech-aware LLMs with strong English ASR capabilities
Fish-Speech: Leveraging Large Language Models for Advanced Multilingual Text-to-Speech Synthesis
Video Object and Interaction Deletion
VoxCPM: Tokenizer-Free TTS for Context-Aware Speech Generation and True-to-Life Voice Cloning
OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models
Where Vision Becomes Text: Locating the OCR Routing Bottleneck in Vision-Language Models
OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-Scale Datasets
dnaHNet: A Scalable and Hierarchical Foundation Model for Genomic Sequence Learning
Neural Computers
Fast NF4 Dequantization Kernels for Large Language Model Inference
EasyVideoR1: Easier RL for Video Understanding
MultiWorld: Scalable Multi-Agent Multi-View Video World Models
OpenGame: Open Agentic Coding for Games
Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence
OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation
Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image
Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuracy
UI-TARS: Pioneering Automated GUI Interaction with Native Agents
HunyuanVideo: A Systematic Framework for Large Video Generative Models
MathNet: A Global Multimodal Benchmark for Mathematical Reasoning and Retrieval
Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering
Active Context Compression: Autonomous Memory Management in LLM Agents
Cut Your Losses! Learning to Prune Paths Early for Efficient Parallel Reasoning
Qwen3.5-Omni Technical Report
Web Retrieval-Aware Chunking (W-RAC) for Efficient and Cost-Effective Retrieval-Augmented Generation Systems
PersonaVLM: Long-Term Personalized Multimodal LLMs
Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips
Elucidating the SNR-t Bias of Diffusion Probabilistic Models
Multimodal OCR: Parse Anything from Documents
Granite-speech: open-source speech-aware LLMs with strong English ASR capabilities
Fish-Speech: Leveraging Large Language Models for Advanced Multilingual Text-to-Speech Synthesis
Video Object and Interaction Deletion
VoxCPM: Tokenizer-Free TTS for Context-Aware Speech Generation and True-to-Life Voice Cloning
OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models
Where Vision Becomes Text: Locating the OCR Routing Bottleneck in Vision-Language Models
OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-Scale Datasets
dnaHNet: A Scalable and Hierarchical Foundation Model for Genomic Sequence Learning
Neural Computers