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

Does Socialization Emerge in AI Agent Society? A Case Study of Moltbook

Sanity Checks for Sparse Autoencoders: Do SAEs Beat Random Baselines?































Does Socialization Emerge in AI Agent Society? A Case Study of Moltbook

Sanity Checks for Sparse Autoencoders: Do SAEs Beat Random Baselines?






























SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
GLM-5: from Vibe Coding to Agentic Engineering
BitDance: Scaling Autoregressive Generative Models with Binary Tokens
REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents
Qute: Towards Quantum-Native Database
InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem
Query as Anchor: Scenario-Adaptive User Representation via Large Language Model
SemanticMoments: Training-Free Motion Similarity via Third Moment Features
RLinf-Co: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models
ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning
What does RL improve for Visual Reasoning? A Frankenstein-Style Analysis
MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs
Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
Less is Enough: Synthesizing Diverse Data in Feature Space of LLMs
GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning
MOSS-Audio-Tokenizer: Scaling Audio Tokenizers for Future Audio Foundation Models
Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation
DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing
Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models
The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies
Towards Autonomous Mathematics Research
When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning
ASA: Activation Steering for Tool-Calling Domain Adaptation
PhyCritic: Multimodal Critic Models for Physical AI
GENIUS: Generative Fluid Intelligence Evaluation Suite
Step 3.5 Flash: Open Frontier-Level Intelligence with 11B Active Parameters
World-VLA-Loop: Closed-Loop Learning of Video World Model and VLA Policy
Towards Autonomous Mathematics Research
Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
P1-VL: Bridging Visual Perception and Scientific Reasoning in Physics Olympiads
SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
GLM-5: from Vibe Coding to Agentic Engineering
BitDance: Scaling Autoregressive Generative Models with Binary Tokens
REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents
Qute: Towards Quantum-Native Database
InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem
Query as Anchor: Scenario-Adaptive User Representation via Large Language Model
SemanticMoments: Training-Free Motion Similarity via Third Moment Features
RLinf-Co: Reinforcement Learning-Based Sim-Real Co-Training for VLA Models
ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning
What does RL improve for Visual Reasoning? A Frankenstein-Style Analysis
MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs
Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
Less is Enough: Synthesizing Diverse Data in Feature Space of LLMs
GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning
MOSS-Audio-Tokenizer: Scaling Audio Tokenizers for Future Audio Foundation Models
Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation
DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing
Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models
The Devil Behind Moltbook: Anthropic Safety is Always Vanishing in Self-Evolving AI Societies
Towards Autonomous Mathematics Research
When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning
ASA: Activation Steering for Tool-Calling Domain Adaptation
PhyCritic: Multimodal Critic Models for Physical AI
GENIUS: Generative Fluid Intelligence Evaluation Suite
Step 3.5 Flash: Open Frontier-Level Intelligence with 11B Active Parameters
World-VLA-Loop: Closed-Loop Learning of Video World Model and VLA Policy
Towards Autonomous Mathematics Research
Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
P1-VL: Bridging Visual Perception and Scientific Reasoning in Physics Olympiads