Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic Workspaces

TiDAR: Think in Diffusion, Talk in Autoregression

Time-to-Move: Training-Free Motion Controlled Video Generation via Dual-Clock Denoising

Lumine: An Open Recipe for Building Generalist Agents in 3D Open Worlds

Generating an Image From 1,000 Words: Enhancing Text-to-Image With Structured Captions

KLASS: KL-Guided Fast Inference in Masked Diffusion Models

Grounding Computer Use Agents on Human Demonstrations

Wasm: A Pipeline for Constructing Structured Arabic Interleaved Multimodal Corpora

Adaptive Multi-Agent Response Refinement in Conversational Systems

SPAN: Spatial-Projection Alignment for Monocular 3D Object Detection

Efficient Approximation of Volterra Series for High-Dimensional Systems

SofT-GRPO: Surpassing Discrete-Token LLM Reinforcement Learning via Gumbel-Reparameterized Soft-Thinking Policy Optimization

RedOne 2.0: Rethinking Domain-specific LLM Post-Training in Social Networking Services

The Station: An Open-World Environment for AI-Driven Discovery

DRIVE: Data Curation Best Practices for Reinforcement Learning with Verifiable Reward in Competitive Code Generation

IterResearch: Rethinking Long-Horizon Agents via Markovian State Reconstruction

HaluMem: Evaluating Hallucinations in Memory Systems of Agents

GVPO: Group Variance Policy Optimization for Large Language Model Post-Training

ReCA: Integrated Acceleration for Real-Time and Efficient Cooperative Embodied Autonomous Agents

DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation

NovaFlow: Zero-Shot Manipulation via Actionable Flow from Generated Videos

TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning

GTA: Supervised-Guided Reinforcement Learning for Text Classification with Large Language Models

Modeling protein-small molecule conformational ensembles with PLACER

Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

DiaMoE-TTS: A Unified IPA-Based Dialect TTS Framework with Mixture-of-Experts and Parameter-Efficient Zero-Shot Adaptation

AI Assisted AR Assembly: Object Recognition and Computer Vision for Augmented Reality Assisted Assembly

Jailbreaking in the Haystack

CritiCal: Can Critique Help LLM Uncertainty or Confidence Calibration?

Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings

Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic Workspaces

TiDAR: Think in Diffusion, Talk in Autoregression

Time-to-Move: Training-Free Motion Controlled Video Generation via Dual-Clock Denoising

Lumine: An Open Recipe for Building Generalist Agents in 3D Open Worlds

Generating an Image From 1,000 Words: Enhancing Text-to-Image With Structured Captions

KLASS: KL-Guided Fast Inference in Masked Diffusion Models

Grounding Computer Use Agents on Human Demonstrations

Wasm: A Pipeline for Constructing Structured Arabic Interleaved Multimodal Corpora

Adaptive Multi-Agent Response Refinement in Conversational Systems

SPAN: Spatial-Projection Alignment for Monocular 3D Object Detection

Efficient Approximation of Volterra Series for High-Dimensional Systems

SofT-GRPO: Surpassing Discrete-Token LLM Reinforcement Learning via Gumbel-Reparameterized Soft-Thinking Policy Optimization

RedOne 2.0: Rethinking Domain-specific LLM Post-Training in Social Networking Services

The Station: An Open-World Environment for AI-Driven Discovery

DRIVE: Data Curation Best Practices for Reinforcement Learning with Verifiable Reward in Competitive Code Generation

IterResearch: Rethinking Long-Horizon Agents via Markovian State Reconstruction

HaluMem: Evaluating Hallucinations in Memory Systems of Agents

GVPO: Group Variance Policy Optimization for Large Language Model Post-Training

ReCA: Integrated Acceleration for Real-Time and Efficient Cooperative Embodied Autonomous Agents

DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation

NovaFlow: Zero-Shot Manipulation via Actionable Flow from Generated Videos

TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning

GTA: Supervised-Guided Reinforcement Learning for Text Classification with Large Language Models

Modeling protein-small molecule conformational ensembles with PLACER

Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

DiaMoE-TTS: A Unified IPA-Based Dialect TTS Framework with Mixture-of-Experts and Parameter-Efficient Zero-Shot Adaptation

AI Assisted AR Assembly: Object Recognition and Computer Vision for Augmented Reality Assisted Assembly

Jailbreaking in the Haystack

CritiCal: Can Critique Help LLM Uncertainty or Confidence Calibration?

Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings