Autonomous Code Evolution Meets NP-Completeness

Reinforcement Learning Foundations for Deep Research Systems: A Survey

Reinforced Visual Perception with Tools

Does DINOv3 Set a New Medical Vision Standard?

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents

Reverse-Engineered Reasoning for Open-Ended Generation

OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration

CURE: Controlled Unlearning for Robust Embeddings -- Mitigating Conceptual Shortcuts in Pre-Trained Language Models

MedVista3D: Vision-Language Modeling for Reducing Diagnostic Errors in 3D CT Disease Detection, Understanding and Reporting

LuxDiT: Lighting Estimation with Video Diffusion Transformer

WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning

Set Block Decoding is a Language Model Inference Accelerator

Symbolic Graphics Programming with Large Language Models

Why Language Models Hallucinate

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation

Recomposer: Event-roll-guided generative audio editing

Transition Models: Rethinking the Generative Learning Objective

Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions?

DeepResearch Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks

Towards a Unified View of Large Language Model Post-Training

From Editor to Dense Geometry Estimator

Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers

ArcMemo: Abstract Reasoning Composition with Lifelong LLM Memory

CoT-Space: A Theoretical Framework for Internal Slow-Thinking via Reinforcement Learning

Multi-View 3D Point Tracking

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement

Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation

On the Theoretical Limitations of Embedding-Based Retrieval

Autonomous Code Evolution Meets NP-Completeness

Reinforcement Learning Foundations for Deep Research Systems: A Survey

Reinforced Visual Perception with Tools

Does DINOv3 Set a New Medical Vision Standard?

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents

Reverse-Engineered Reasoning for Open-Ended Generation

OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration

CURE: Controlled Unlearning for Robust Embeddings -- Mitigating Conceptual Shortcuts in Pre-Trained Language Models

MedVista3D: Vision-Language Modeling for Reducing Diagnostic Errors in 3D CT Disease Detection, Understanding and Reporting

LuxDiT: Lighting Estimation with Video Diffusion Transformer

WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning

Set Block Decoding is a Language Model Inference Accelerator

Symbolic Graphics Programming with Large Language Models

Why Language Models Hallucinate

LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation

Recomposer: Event-roll-guided generative audio editing

Transition Models: Rethinking the Generative Learning Objective

Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions?

DeepResearch Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks

Towards a Unified View of Large Language Model Post-Training

From Editor to Dense Geometry Estimator

Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers

ArcMemo: Abstract Reasoning Composition with Lifelong LLM Memory

CoT-Space: A Theoretical Framework for Internal Slow-Thinking via Reinforcement Learning

Multi-View 3D Point Tracking

MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement

Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation

On the Theoretical Limitations of Embedding-Based Retrieval