Tse-Hsun (Peter) Chen — accepted AI-conference papers

2026

Agent-SAMA: State-Aware Mobile Assistant

Linqiang Guo, Wei Liu, Yi Wen Heng, Tse-Hsun (Peter) Chen, Yang Wang

AAAI 2026technical

Mobile Graphical User Interface (GUI) agents aim to autonomously complete tasks within or across apps based on user instructions. While recent Multimodal Large Language Models (MLLMs) enable these agents to interpret UI screens and perform actions, existing agents remain fundamentally reactive. They

Cited by 8 Source ↗PDF ↗Scholar ↗

2026

From Patches to Plans: Reasoning Distillation for Repository-Level Program Repair

Chenglin Li, Yisen Xu, Zehao Wang, Shin Hwei Tan, Tse-Hsun (Peter) Chen

ICML 2026poster

Repository-level automated program repair (APR) requires long-horizon reasoning over interdependent decisions. However, most LLM-based approaches reconstruct repair reasoning independently for each issue, failing to reuse successful patterns from prior repairs, even though real-world repositories co…

Cited by 0 Source ↗Scholar ↗