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

ASGuard: Activation-Scaling Guard to Mitigate Targeted Jailbreaking Attack

GlobalSplat: Efficient Feed-Forward 3D Gaussian Splatting via Global Scene Tokens

How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework

DR$^{3}$3-Eval: Towards Realistic and Reproducible Deep Research Evaluation

HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds

pi0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities

GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training

Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward

Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration?

Memory Transfer Learning: How Memories are Transferred Across Domains in Coding Agents

OccuBench: Evaluating AI Agents on Real-World Professional Tasks via Language World Models

SpatialEvo: Self-Evolving Spatial Intelligence via Deterministic Geometric Environments

RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time

Seedance 2.0: Advancing Video Generation for World Complexity

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

ASGuard: Activation-Scaling Guard to Mitigate Targeted Jailbreaking Attack

GlobalSplat: Efficient Feed-Forward 3D Gaussian Splatting via Global Scene Tokens

How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data

RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework

DR$^{3}$3-Eval: Towards Realistic and Reproducible Deep Research Evaluation

HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds

pi0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities

GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training

Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward

Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration?

Memory Transfer Learning: How Memories are Transferred Across Domains in Coding Agents

OccuBench: Evaluating AI Agents on Real-World Professional Tasks via Language World Models

SpatialEvo: Self-Evolving Spatial Intelligence via Deterministic Geometric Environments

RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time

Seedance 2.0: Advancing Video Generation for World Complexity