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Shengnan Ma

2 accepted papers

2026

V-ABS: Action-Observer Driven Beam Search for Dynamic Visual Reasoning

ICML 2026poster

Multimodal large language models (MLLMs) have achieved remarkable success in general perception, yet complex multi-step visual reasoning remains a persistent challenge. Although recent agentic approaches incorporate tool use, they often neglect critical execution feedback. Consequently, they suffer …

Cited by 0SourceScholar
2025

GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behavior

NeurIPS 2025poster

Multimodal Large Language Models (MLLMs) have shown great potential in revolutionizing Graphical User Interface (GUI) automation. However, existing GUI models mostly rely on learning from nearly error-free offline trajectories, thus lacking reflection and error recovery capabilities. To bridge this…

Cited by 0SourceScholar