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cs.AI2026

PlaceReasoner-Beta: Reasoning-Driven Macro Placement and Benchmarking

Qiufeng Li, Chengxuan Wang, Rongqian Chen +6

Automated macro placement remains a fundamental challenge in VLSI physical design. Despite decades of research, existing approaches predominantly optimize hand-crafted proxy object…

cs.AI2026

FlowEdit: Information-Theoretic Control of LLM Reasoning Flows for Ill-posed Problems Involving Conflicts

Sizhe Tang, Guangyu Jiang, Yu Li +3

Large Language Models (LLMs) perform strongly on well-specified reasoning tasks with a feasible answer. However, problems encountered in the open world can become ill-posed due to…

cs.AI2026

IntentScore: Intent-Conditioned Action Evaluation for Computer-Use Agents

Rongqian Chen, Yu Li, Zeyu Fang +3

Computer-Use Agents (CUAs) leverage large language models to execute GUI operations on desktop environments, yet they generate actions without evaluating action quality, leading to…

cs.AI2026

Agent Alpha: Tree Search Unifying Generation, Exploration and Evaluation for Computer-Use Agents

Sizhe Tang, Rongqian Chen, Tian Lan

While scaling test-time compute through trajectory-level sampling has significantly improved Graphical User Interface (GUI) agents, the lack of regressive ability prevents the reus…

cs.AI2025

Perception Graph for Cognitive Attack Reasoning in Augmented Reality

Rongqian Chen, Shu Hong, Rifatul Islam +3

Augmented reality (AR) systems are increasingly deployed in tactical environments, but their reliance on seamless human-computer interaction makes them vulnerable to cognitive atta…