Yongliang Shen
- Papers
- 33
Cite
Notes
Only stored in your browser.
Authored papers
33Self-Distilled Agentic Reinforcement Learning
arXiv 2026
ClawGUI: A Unified Framework for Training, Evaluating, and Deploying GUI Agents
arXiv 2026
SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization
arXiv 2026
KnowU-Bench: Towards Interactive, Proactive, and Personalized Mobile Agent Evaluation
arXiv 2026
UI-Zoomer: Uncertainty-Driven Adaptive Zoom-In for GUI Grounding
arXiv 2026
Code-A1: Adversarial Evolving of Code LLM and Test LLM via Reinforcement Learning
arXiv 2026
GroundAct: Can LLM Agents Ground Actions in Environmental States?
arXiv 2025
InftyThink+: Effective and Efficient Infinite-Horizon Reasoning via Reinforcement Learning
arXiv 2026
SpatialEvo: Self-Evolving Spatial Intelligence via Deterministic Geometric Environments
arXiv 2026
UI-Copilot: Advancing Long-Horizon GUI Automation via Tool-Integrated Policy Optimization
arXiv 2026
EasySteer: A Unified Framework for High-Performance and Extensible LLM Steering
arXiv 2025
SVGenius: Benchmarking LLMs in SVG Understanding, Editing and Generation
arXiv 2025
InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
arXiv 2025
Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning
arXiv 2025
Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models
arXiv 2025
UI-S1: Advancing GUI Automation via Semi-online Reinforcement Learning
arXiv 2025
GSM8K-V: Can Vision Language Models Solve Grade School Math Word Problems in Visual Contexts
arXiv 2025
GUI-G$^2$: Gaussian Reward Modeling for GUI Grounding
arXiv 2025
Hierarchical Budget Policy Optimization for Adaptive Reasoning
arXiv 2025
Let LLMs Break Free from Overthinking via Self-Braking Tuning
arXiv 2025
Test-Time Reinforcement Learning for GUI Grounding via Region Consistency
arXiv 2025
LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization
arXiv 2025
Think Twice, Click Once: Enhancing GUI Grounding via Fast and Slow Systems
arXiv 2025
Chain-of-Model Learning for Language Model
arXiv 2025
TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence
arXiv 2025
Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks
arXiv 2025
Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models
arXiv 2025
VerifyBench: Benchmarking Reference-based Reward Systems for Large Language Models
arXiv 2025
EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction
arXiv 2024
Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization
arXiv 2024
Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model
arXiv 2024
Entering Real Social World! Benchmarking the Social Intelligence of Large Language Models from a First-person Perspective
arXiv 2024
Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow
arXiv 2023
Affiliations
Frequent co-authors
10from 33 papers