Zhengxi Lu

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upvoted a collection 2 days ago

HybridCUA

Collection

Dataset & Model • 2 items • Updated 19 days ago • 2

upvoted a paper 9 days ago

ViSkill: Reinforcing VLM Agents with Evolving Visual-Native Skills

Paper • 2610.12403 • Published 11 days ago • 18

upvoted 2 papers 11 days ago

nanoMuse: An Open-Source Personal Agent for Every Device You Own

Paper • 2610.08699 • Published 13 days ago • 116

ComputerSD: Online Self-Distillation from Real-Time Feedback for Computer-Use Agents

Paper • 2609.40253 • Published 18 days ago • 8

upvoted a paper 18 days ago

HybridCUA: Learning to Orchestrate GUI and CLI for Computer-Use Agents

Paper • 2609.38008 • Published 20 days ago • 49

upvoted a paper 24 days ago

IterSynth: Rethinking Deep Search Agents via Role-Decoupled Iterative Synthesis

Paper • 2609.29444 • Published 25 days ago • 21

upvoted 2 papers about 1 month ago

RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning

Paper • 2609.20784 • Published Sep 17 • 59

Reflect, Revise, Reuse: Training-Free Skill Evolution for GUI Agents

Paper • 2609.17653 • Published Sep 15 • 45

upvoted 7 papers about 2 months ago

UI-Venus-2 Technical Report

Paper • 2609.00028 • Published Aug 27 • 67

PaperGym: Rubric-Centered Evolution for Research-Plan Generation

Paper • 2608.31119 • Published Aug 31 • 33

From Proprietary to Open-Source: Bridging the Distribution Gap via Multi-Agent Protocol Distillation in Agentic Search

Paper • 2607.24280 • Published Jul 27 • 85

DecoEvo: Score-Decoupled Co-Evolution of Solver and Rubric-Generator Skills in Text Space

Paper • 2607.25675 • Published Jul 28 • 70

UrbanGround: From Local Perception to Spatial Agency in a Real-Scale City

Paper • 2608.27456 • Published Aug 27 • 88

TTPO: Test-Time Policy Optimization

Paper • 2608.27448 • Published Aug 27 • 84

Agent-G^2: Gaussian Guidance for Agentic Reinforcement Learning

Paper • 2608.23318 • Published Aug 24 • 32

upvoted 4 papers 2 months ago

Stealing Reasoning Traces from Proprietary LLM APIs

Paper • 2608.09867 • Published Aug 10 • 122

EnvACE: Internalizing Environment Dynamics via World Rehearsal for Agentic Reinforcement Learning

Paper • 2608.06197 • Published Aug 6 • 48

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning

Paper • 2608.05987 • Published Aug 6 • 104

Distill Where You Fail: Recovering Learning Signals of Negative RL-Groups from Adaptive Teacher Guidance

Paper • 2608.00782 • Published Aug 1 • 18

upvoted a paper 3 months ago

VAD: Attributing Visual Evidence for Target Reconstruction in Multimodal On-Policy Distillation

Paper • 2607.28590 • Published Jul 30 • 46