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

AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration

No Global Plan in Chain-of-Thought: Uncover the Latent Planning Horizon of LLMs































AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration

No Global Plan in Chain-of-Thought: Uncover the Latent Planning Horizon of LLMs






























CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding
DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Verifiable Constraints
CL-bench: A Benchmark for Context Learning
Reinforcement Learning via Self-Distillation
Chatbots as social companions: How people perceive consciousness, human likeness, and social health benefits in machines
POPE: Learning to Reason on Hard Problems via Privileged On-Policy Exploration
UniReason 1.0: A Unified Reasoning Framework for World Knowledge Aligned Image Generation and Editing
Closing the Loop: Universal Repository Representation with RPG-Encoder
Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models
Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models
Kimi K2.5: Visual Agentic Intelligence
Green-VLA: Staged Vision-Language-Action Model for Generalist Robots
PaperBanana: Automating Academic Illustration for AI Scientists
Semi-Autonomous Mathematics Discovery with Gemini: A Case Study on the Erdős Problems
Latent Chain-of-Thought as Planning: Decoupling Reasoning from Verbalization
Real-Time Aligned Reward Model beyond Semantics
DenseGRPO: From Sparse to Dense Reward for Flow Matching Model Alignment
DreamActor-M2: Universal Character Image Animation via Spatiotemporal In-Context Learning
TTCS: Test-Time Curriculum Synthesis for Self-Evolving
ASTRA: Automated Synthesis of agentic Trajectories and Reinforcement Arenas
Self-Distillation Enables Continual Learning
Towards Execution-Grounded Automated AI Research
DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation
MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods
OCRVerse: Towards Holistic OCR in End-to-End Vision-Language Models
Scaling Embeddings Outperforms Scaling Experts in Language Models
Idea2Story: An Automated Pipeline for Transforming Research Concepts into Complete Scientific Narratives
Everything in Its Place: Benchmarking Spatial Intelligence of Text-to-Image Models
Qwen3-ASR Technical Report
Insight Agents: An LLM-Based Multi-Agent System for Data Insights
CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding
DeepPlanning: Benchmarking Long-Horizon Agentic Planning with Verifiable Constraints
CL-bench: A Benchmark for Context Learning
Reinforcement Learning via Self-Distillation
Chatbots as social companions: How people perceive consciousness, human likeness, and social health benefits in machines
POPE: Learning to Reason on Hard Problems via Privileged On-Policy Exploration
UniReason 1.0: A Unified Reasoning Framework for World Knowledge Aligned Image Generation and Editing
Closing the Loop: Universal Repository Representation with RPG-Encoder
Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models
Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models
Kimi K2.5: Visual Agentic Intelligence
Green-VLA: Staged Vision-Language-Action Model for Generalist Robots
PaperBanana: Automating Academic Illustration for AI Scientists
Semi-Autonomous Mathematics Discovery with Gemini: A Case Study on the Erdős Problems
Latent Chain-of-Thought as Planning: Decoupling Reasoning from Verbalization
Real-Time Aligned Reward Model beyond Semantics
DenseGRPO: From Sparse to Dense Reward for Flow Matching Model Alignment
DreamActor-M2: Universal Character Image Animation via Spatiotemporal In-Context Learning
TTCS: Test-Time Curriculum Synthesis for Self-Evolving
ASTRA: Automated Synthesis of agentic Trajectories and Reinforcement Arenas
Self-Distillation Enables Continual Learning
Towards Execution-Grounded Automated AI Research
DynamicVLA: A Vision-Language-Action Model for Dynamic Object Manipulation
MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods
OCRVerse: Towards Holistic OCR in End-to-End Vision-Language Models
Scaling Embeddings Outperforms Scaling Experts in Language Models
Idea2Story: An Automated Pipeline for Transforming Research Concepts into Complete Scientific Narratives
Everything in Its Place: Benchmarking Spatial Intelligence of Text-to-Image Models
Qwen3-ASR Technical Report
Insight Agents: An LLM-Based Multi-Agent System for Data Insights