Shaobo Liang — accepted AI-conference papers

2025

CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers?

Jiefu Ou, William Walden, Kate Sanders, Zhengping Jiang, Kaiser Sun, Jeffrey Cheng +10

EMNLP 2025

A core part of scientific peer review involves providing expert critiques that directly assess the scientific claims a paper makes. While it is now possible to automatically generate plausible (if generic) reviews, ensuring that these reviews are sound and grounded in the papers’ claims remains chal

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2025

Emergency Avoidance: Model Predictive Control Based Path Tracking for Unmanned Ground Vehicles with Active Obstacle Avoidance

Zongliang Chen, Shuguo Pan, Xinhua Tang, Wang Gao, ShaoBo Liang, Xiaocong Li

IROS 2025

Autonomous driving is a high-performance, safety-critical task. Effectively controlling autonomous vehicles to enhance both performance and safety is crucial, especially in complex and dynamic environments. However, in real-time obstacle avoidance (OA) scenarios, the planning layer often fails due t

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