Nigel Jingyu Lee

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upvoted 20 papers about 1 month ago

SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer

Paper • 2509.24695 • Published Sep 29 • 44

PromptCoT 2.0: Scaling Prompt Synthesis for Large Language Model Reasoning

Paper • 2509.19894 • Published Sep 24 • 32

Real-Time Object Detection Meets DINOv3

Paper • 2509.20787 • Published Sep 25 • 10

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Paper • 2509.22186 • Published Sep 26 • 128

OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints

Paper • 2501.03841 • Published Jan 7 • 56

UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Paper • 2501.12326 • Published Jan 21 • 65

Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8 • 99

Search-o1: Agentic Search-Enhanced Large Reasoning Models

Paper • 2501.05366 • Published Jan 9 • 102

Kimi k1.5: Scaling Reinforcement Learning with LLMs

Paper • 2501.12599 • Published Jan 22 • 123

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8 • 285

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published Jan 22 • 423

TransMLA: Multi-head Latent Attention Is All You Need

Paper • 2502.07864 • Published Feb 11 • 58

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Paper • 2502.11089 • Published Feb 16 • 165

Qwen2.5-VL Technical Report

Paper • 2502.13923 • Published Feb 19 • 208

Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36

Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model

Paper • 2503.07703 • Published Mar 10 • 37

Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 84

DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18 • 141

Qwen2.5-Omni Technical Report

Paper • 2503.20215 • Published Mar 26 • 166

ToolRL: Reward is All Tool Learning Needs

Paper • 2504.13958 • Published Apr 16 • 48