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Papers
Daily updated cutting-edge AI research papers to help you keep up with the latest AI trends

Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Methodology

MIRIX: Multi-Agent Memory System for LLM-Based Agents































Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Methodology

MIRIX: Multi-Agent Memory System for LLM-Based Agents






























Skywork-R1V3 Technical Report
T-LoRA: Single Image Diffusion Model Customization Without Overfitting
Scaling RL to Long Videos
Critiques of World Models
Is Diversity All You Need for Scalable Robotic Manipulation?
Nile-Chat: Egyptian Language Models for Arabic and Latin Scripts
GTA1: GUI Test-time Scaling Agent
MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos
RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents
The User-Centric Geo-Experience: An LLM-Powered Framework for Enhanced Planning, Navigation, and Dynamic Adaptation
PLAME: Leveraging Pretrained Language Models to Generate Enhanced Protein Multiple Sequence Alignments
CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization
StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context Modeling
OmniPart: Part-Aware 3D Generation with Semantic Decoupling and Structural Cohesion
SingLoRA: Low Rank Adaptation Using a Single Matrix
A Survey on Latent Reasoning
Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving
ChipSeek-R1: Generating Human-Surpassing RTL with LLM via Hierarchical Reward-Driven Reinforcement Learning
MedGemma Technical Report
BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset
Pre-Trained Policy Discriminators are General Reward Models
DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge
4DSloMo: 4D Reconstruction for High Speed Scene with Asynchronous Capture
Should We Still Pretrain Encoders with Masked Language Modeling?
MemOS: A Memory OS for AI System
OGF: An Online Gradient Flow Method for Optimizing the Statistical Steady-State Time Averages of Unsteady Turbulent Flows
OpenS2S: Advancing Open-Source End-to-End Empathetic Large Speech Language Model
Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory
StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to Reason
Establishing Best Practices for Building Rigorous Agentic Benchmarks
Skywork-R1V3 Technical Report
T-LoRA: Single Image Diffusion Model Customization Without Overfitting
Scaling RL to Long Videos
Critiques of World Models
Is Diversity All You Need for Scalable Robotic Manipulation?
Nile-Chat: Egyptian Language Models for Arabic and Latin Scripts
GTA1: GUI Test-time Scaling Agent
MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos
RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents
The User-Centric Geo-Experience: An LLM-Powered Framework for Enhanced Planning, Navigation, and Dynamic Adaptation
PLAME: Leveraging Pretrained Language Models to Generate Enhanced Protein Multiple Sequence Alignments
CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization
StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context Modeling
OmniPart: Part-Aware 3D Generation with Semantic Decoupling and Structural Cohesion
SingLoRA: Low Rank Adaptation Using a Single Matrix
A Survey on Latent Reasoning
Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving
ChipSeek-R1: Generating Human-Surpassing RTL with LLM via Hierarchical Reward-Driven Reinforcement Learning
MedGemma Technical Report
BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset
Pre-Trained Policy Discriminators are General Reward Models
DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge
4DSloMo: 4D Reconstruction for High Speed Scene with Asynchronous Capture
Should We Still Pretrain Encoders with Masked Language Modeling?
MemOS: A Memory OS for AI System
OGF: An Online Gradient Flow Method for Optimizing the Statistical Steady-State Time Averages of Unsteady Turbulent Flows
OpenS2S: Advancing Open-Source End-to-End Empathetic Large Speech Language Model
Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory
StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to Reason
Establishing Best Practices for Building Rigorous Agentic Benchmarks