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Yongliang Shen — most-cited papers & profile · Computer Vision
← authors
·
overview
Yongliang Shen
28
papers ·
14
citations ·
19
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
UI-S1: Advancing GUI Automation via Semi-online Reinforcement Learning
2025 · 12 citations
A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation
2022 · 2 citations
How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities
2026
SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution
2026
SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization
2026
Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models
2025
EasySteer: A Unified Framework for High-Performance and Extensible LLM Steering
2025
Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models
2025
GroundAct: Can LLM Agents Ground Actions in Environmental States?
2025
Chain-of-Model Learning for Language Model
2025
Let LLMs Break Free from Overthinking via Self-Braking Tuning
2025
Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning
2025
TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence
2025
Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models
2025
GSM8K-V: Can Vision Language Models Solve Grade School Math Word Problems in Visual Contexts
2025
Topics
Training Techniques
Reinforcement Learning
In-Context Learning
cs.CL
cs.AI
Policy Gradient
Multi-Agent
Evaluation
Efficiency
Fine-Tuning