C3: A Bilingual Benchmark for Spoken Dialogue Models Exploring Challenges in Complex Conversations

RecGPT Technical Report

Phi-Ground Tech Report: Advancing Perception in GUI Grounding

Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving

The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery

Less is More for Synthetic Speech Detection in the Wild

Solution-aware vs global ReLU selection: partial MILP strikes back for DNN verification

CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks

Towards Omnimodal Expressions and Reasoning in Referring Audio-Visual Segmentation

Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

BANG: Dividing 3D Assets via Generative Exploded Dynamics

ScreenCoder: Advancing Visual-to-Code Generation for Front-End Automation via Modular Multimodal Agents

Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

MIRepNet: A Pipeline and Foundation Model for EEG-Based Motor Imagery Classification

HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale

ChemDFM-R: An Chemical Reasoner LLM Enhanced with Atomized Chemical Knowledge

X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again

HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels

AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data

Toward long-range ENSO prediction with an explainable deep learning model

OmniArch: Building Foundation Model for Scientific Computing

VA-MoE: Channel-Adapted MoE for Incremental Weather Forecasting

UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding

DualSG: A Dual-Stream Explicit Semantic-Guided Multivariate Time Series Forecasting Framework

When Tokens Talk Too Much: A Survey of Multimodal Long-Context Token Compression across Images, Videos, and Audios

SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Reconstructing 4D Spatial Intelligence: A Survey

Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning

C3: A Bilingual Benchmark for Spoken Dialogue Models Exploring Challenges in Complex Conversations

RecGPT Technical Report

Phi-Ground Tech Report: Advancing Perception in GUI Grounding

Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving

The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery

Less is More for Synthetic Speech Detection in the Wild

Solution-aware vs global ReLU selection: partial MILP strikes back for DNN verification

CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks

Towards Omnimodal Expressions and Reasoning in Referring Audio-Visual Segmentation

Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

BANG: Dividing 3D Assets via Generative Exploded Dynamics

ScreenCoder: Advancing Visual-to-Code Generation for Front-End Automation via Modular Multimodal Agents

Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

MIRepNet: A Pipeline and Foundation Model for EEG-Based Motor Imagery Classification

HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale

ChemDFM-R: An Chemical Reasoner LLM Enhanced with Atomized Chemical Knowledge

X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again

HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels

AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data

Toward long-range ENSO prediction with an explainable deep learning model

OmniArch: Building Foundation Model for Scientific Computing

VA-MoE: Channel-Adapted MoE for Incremental Weather Forecasting

UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding

DualSG: A Dual-Stream Explicit Semantic-Guided Multivariate Time Series Forecasting Framework

When Tokens Talk Too Much: A Survey of Multimodal Long-Context Token Compression across Images, Videos, and Audios

SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment

Reconstructing 4D Spatial Intelligence: A Survey

Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning