DeepAgent: A General Reasoning Agent with Scalable Toolsets

Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design

Reac-Discovery: an artificial intelligence–driven platform for continuous-flow catalytic reactor discovery and optimization

BoltzGen:Toward Universal Binder Design

HSCodeComp: A Realistic and Expert-level Benchmark for Deep Search Agents in Hierarchical Rule Application

DyPE: Dynamic Position Extrapolation for Ultra High Resolution Diffusion

HoloCine: Holistic Generation of Cinematic Multi-Shot Long Video Narratives

Open-o3 Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence

AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders

Human-Agent Collaborative Paper-to-Page Crafting for Under $0.1

See the Text: From Tokenization to Visual Reading

Directional Reasoning Injection for Fine-Tuning MLLMs

Language Models are Injective and Hence Invertible

The Free Transformer

Quantum Processing Unit (QPU) processing time Prediction with Machine Learning

Observation of constructive interference at the edge of quantum ergodicity

VideoAgentTrek: Computer Use Pretraining from Unlabeled Videos

GigaBrain-0: A World Model-Powered Vision-Language-Action Model

LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts

BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping

Every Attention Matters: An Efficient Hybrid Architecture for Long-Context Reasoning

Color Me Correctly: Bridging Perceptual Color Spaces and Text Embeddings for Improved Diffusion Generation

Spatial Reasoning with Vision-Language Models in Ego-Centric Multi-View Scenes

LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios

FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies

Inpainting-Guided Policy Optimization for Diffusion Large Language Models

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools

A Survey on Cache Methods in Diffusion Models: Toward Efficient Multi-Modal Generation

Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks

Spatially-Varying Autofocus

DeepAgent: A General Reasoning Agent with Scalable Toolsets

Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design

Reac-Discovery: an artificial intelligence–driven platform for continuous-flow catalytic reactor discovery and optimization

BoltzGen:Toward Universal Binder Design

HSCodeComp: A Realistic and Expert-level Benchmark for Deep Search Agents in Hierarchical Rule Application

DyPE: Dynamic Position Extrapolation for Ultra High Resolution Diffusion

HoloCine: Holistic Generation of Cinematic Multi-Shot Long Video Narratives

Open-o3 Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence

AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders

Human-Agent Collaborative Paper-to-Page Crafting for Under $0.1

See the Text: From Tokenization to Visual Reading

Directional Reasoning Injection for Fine-Tuning MLLMs

Language Models are Injective and Hence Invertible

The Free Transformer

Quantum Processing Unit (QPU) processing time Prediction with Machine Learning

Observation of constructive interference at the edge of quantum ergodicity

VideoAgentTrek: Computer Use Pretraining from Unlabeled Videos

GigaBrain-0: A World Model-Powered Vision-Language-Action Model

LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts

BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping

Every Attention Matters: An Efficient Hybrid Architecture for Long-Context Reasoning

Color Me Correctly: Bridging Perceptual Color Spaces and Text Embeddings for Improved Diffusion Generation

Spatial Reasoning with Vision-Language Models in Ego-Centric Multi-View Scenes

LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios

FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies

Inpainting-Guided Policy Optimization for Diffusion Large Language Models

MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools

A Survey on Cache Methods in Diffusion Models: Toward Efficient Multi-Modal Generation

Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks

Spatially-Varying Autofocus