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

Separating Intelligence from Execution: A Workflow Engine for the Model Context Protocol

Understanding the Performance Plateau in Text-to-Video Retrieval: A Comprehensive Empirical and Linguistic Analysis































Separating Intelligence from Execution: A Workflow Engine for the Model Context Protocol

Understanding the Performance Plateau in Text-to-Video Retrieval: A Comprehensive Empirical and Linguistic Analysis






























Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs
EnergAIzer: Fast and Accurate GPU Power Estimation Framework for AI Workloads
Leveraging Verifier-Based Reinforcement Learning in Image Editing
Efficient Training on Multiple Consumer GPUs with RoundPipe
ExoActor: Exocentric Video Generation as Generalizable Interactive Humanoid Control
Co-Evolving Policy Distillation
Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling
Heterogeneous Scientific Foundation Model Collaboration
Diffusion Templates: A Unified Plugin Framework for Controllable Diffusion
RADIO-ViPE: Online Tightly Coupled Multi-Modal Fusion for Open-Vocabulary Semantic SLAM in Dynamic Environments
ClawGym: A Scalable Framework for Building Effective Claw Agents
Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models
Large Language Models Explore by Latent Distilling
GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents
SWE-chat: Coding Agent Interactions From Real Users in the Wild
AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation
Refinement via Regeneration: Enlarging Modification Space Boosts Image Refinement in Unified Multimodal Models
AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery
Meta-CoT: Enhancing Granularity and Generalization in Image Editing
DV-World: Benchmarking Data Visualization Agents in Real-World Scenarios
Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora
Recursive Multi-Agent Systems
Skill Retrieval Augmentation for Agentic AI
SketchVLM: Vision language models can annotate images to explain thoughts and guide users
RSRCC: A Remote Sensing Regional Change Comprehension Benchmark Constructed via Retrieval-Augmented Best-of-N Ranking
LongSpeech: A Scalable Benchmark for Transcription, Translation and Understanding in Long Speech
ClawMark: A Living-World Benchmark for Multi-Turn, Multi-Day, Multimodal Coworker Agents
Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation
Vision-Language-Action Safety: Threats, Challenges, Evaluations, and Mechanisms
ReVSI: Rebuilding Visual Spatial Intelligence Evaluation for Accurate Assessment of VLM 3D Reasoning
Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs
EnergAIzer: Fast and Accurate GPU Power Estimation Framework for AI Workloads
Leveraging Verifier-Based Reinforcement Learning in Image Editing
Efficient Training on Multiple Consumer GPUs with RoundPipe
ExoActor: Exocentric Video Generation as Generalizable Interactive Humanoid Control
Co-Evolving Policy Distillation
Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling
Heterogeneous Scientific Foundation Model Collaboration
Diffusion Templates: A Unified Plugin Framework for Controllable Diffusion
RADIO-ViPE: Online Tightly Coupled Multi-Modal Fusion for Open-Vocabulary Semantic SLAM in Dynamic Environments
ClawGym: A Scalable Framework for Building Effective Claw Agents
Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models
Large Language Models Explore by Latent Distilling
GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents
SWE-chat: Coding Agent Interactions From Real Users in the Wild
AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation
Refinement via Regeneration: Enlarging Modification Space Boosts Image Refinement in Unified Multimodal Models
AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery
Meta-CoT: Enhancing Granularity and Generalization in Image Editing
DV-World: Benchmarking Data Visualization Agents in Real-World Scenarios
Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora
Recursive Multi-Agent Systems
Skill Retrieval Augmentation for Agentic AI
SketchVLM: Vision language models can annotate images to explain thoughts and guide users
RSRCC: A Remote Sensing Regional Change Comprehension Benchmark Constructed via Retrieval-Augmented Best-of-N Ranking
LongSpeech: A Scalable Benchmark for Transcription, Translation and Understanding in Long Speech
ClawMark: A Living-World Benchmark for Multi-Turn, Multi-Day, Multimodal Coworker Agents
Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation
Vision-Language-Action Safety: Threats, Challenges, Evaluations, and Mechanisms
ReVSI: Rebuilding Visual Spatial Intelligence Evaluation for Accurate Assessment of VLM 3D Reasoning