Author

Ting-Xu Han

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Preprint Oct 2026

Provisioning Robust and Efficient LiDAR Perception for Autonomous Driving

LiDAR perception provisioning is formulated as constructing a detector that remains accurate under point-cloud corruptions while meeting constraints on inference latency and peak GPU memory, and this method improves AP under corruption by 4.03 points on average over the corresponding original detectors.

Ting-Xu Han, Zi-Jie Shen, An Guo et al. · 0 citations

#artificial intelligence Preprint Oct 2026

How Do Agentic LLMs Decide to Call Tools? A Tool-Call Vector Shaped by Suppression

Tool calling, invoking external tools on demand, is central to agentic LLMs, yet the mechanism that decides whether a model calls a tool or responds directly remains poorly understood. Agentic prompts are long and heavily scaffolded, combining role instructions, tool schemas, format templates, and the user's request ac...

X. Gong, Ting-Xu Han, Jia-Hao Zhang et al. · 0 citations