Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents

SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning

AutoWebWorld: Synthesizing Infinite Verifiable Web Environments via Finite State Machines

Bounded Model Checking for Unbounded Client Server Systems

How Much Reasoning Do Retrieval-Augmented Models Add beyond LLMs? A Benchmarking Framework for Multi-Hop Inference over Hybrid Knowledge

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems

Panini: Continual Learning in Token Space via Structured Memory

ResearchGym: Evaluating Language Model Agents on Real-World AI Research

Learning to Configure Agentic AI Systems

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

Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents

SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning

AutoWebWorld: Synthesizing Infinite Verifiable Web Environments via Finite State Machines

Bounded Model Checking for Unbounded Client Server Systems

How Much Reasoning Do Retrieval-Augmented Models Add beyond LLMs? A Benchmarking Framework for Multi-Hop Inference over Hybrid Knowledge

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems

Panini: Continual Learning in Token Space via Structured Memory

ResearchGym: Evaluating Language Model Agents on Real-World AI Research

Learning to Configure Agentic AI Systems

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