IntrEx: A Dataset for Modeling Engagement in Educational Conversations

Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning

SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining

Virtual Agent Economies

Towards Understanding Visual Grounding in Visual Language Models

Kling-Avatar: Grounding Multimodal Instructions for Cascaded Long-Duration Avatar Animation Synthesis

MachineLearningLM: Continued Pretraining Language Models on Millions of Synthetic Tabular Prediction Tasks Scales In-Context ML

EchoX: Towards Mitigating Acoustic-Semantic Gap via Echo Training for Speech-to-Speech LLMs

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

scSiameseClu: A Siamese Clustering Framework for Interpreting single-cell RNA Sequencing Data

ST-Raptor: LLM-Powered Semi-Structured Table Question Answering

OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models

Understanding Economic Tradeoffs Between Human and AI Agents in Bargaining Games

Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search

Hunyuan-MT Technical Report

P3-SAM: Native 3D Part Segmentation

AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning

3D and 4D World Modeling: A Survey

RewardDance: Reward Scaling in Visual Generation

Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing

FinReflectKG: Agentic Construction and Evaluation of Financial Knowledge Graphs

A Survey of Reinforcement Learning for Large Reasoning Models

Measuring and mitigating overreliance is necessary for building human-compatible AI

F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward

Reconstruction Alignment Improves Unified Multimodal Models

Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search

Visual Representation Alignment for Multimodal Large Language Models

Parallel-R1: Towards Parallel Thinking via Reinforcement Learning

IntrEx: A Dataset for Modeling Engagement in Educational Conversations

Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning

SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining

Virtual Agent Economies

Towards Understanding Visual Grounding in Visual Language Models

Kling-Avatar: Grounding Multimodal Instructions for Cascaded Long-Duration Avatar Animation Synthesis

MachineLearningLM: Continued Pretraining Language Models on Millions of Synthetic Tabular Prediction Tasks Scales In-Context ML

EchoX: Towards Mitigating Acoustic-Semantic Gap via Echo Training for Speech-to-Speech LLMs

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model

scSiameseClu: A Siamese Clustering Framework for Interpreting single-cell RNA Sequencing Data

ST-Raptor: LLM-Powered Semi-Structured Table Question Answering

OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models

Understanding Economic Tradeoffs Between Human and AI Agents in Bargaining Games

Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search

Hunyuan-MT Technical Report

P3-SAM: Native 3D Part Segmentation

AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning

3D and 4D World Modeling: A Survey

RewardDance: Reward Scaling in Visual Generation

Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing

FinReflectKG: Agentic Construction and Evaluation of Financial Knowledge Graphs

A Survey of Reinforcement Learning for Large Reasoning Models

Measuring and mitigating overreliance is necessary for building human-compatible AI

F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions

UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward

Reconstruction Alignment Improves Unified Multimodal Models

Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search

Visual Representation Alignment for Multimodal Large Language Models

Parallel-R1: Towards Parallel Thinking via Reinforcement Learning