Author

Hao-Tian Xu

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Conference Aug 2026

Look, Then Guide: Training-Free Decoupling of Visual Goal Recognition from Navigation in Aerial Vision-language Navigation

Vision-language models (VLMs) show strong visual understanding for aerial navigation, but their action generation remains unreliable. We study this gap in the context of orbit-search-based navigation, where an aerial agent circles a reference landmark while a VLM detects a language-described goal. We find that the VLM...

Hao-Tian Xu, Chen-Xu Wang, De-Jun Chen et al. · 2026 12th International Conf... · 0 citations

#natural language process... Preprint Sep 2026

DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression

The widespread adoption of long-horizon agents has made model workloads increasingly input-heavy. Although prior work has substantially reduced the cost of long-context computation, prefill remains computationally expensive, and large KV caches continue to strain HBM and SSD capacity and data-transfer bandwidth. Togeth...

De Xu, B. Li, Bang Lin et al. · 35 citations

Preprint Sep 2026

Map the Possibilities: Spatial Belief Fields for Language-Goal Aerial Navigation

SBFNav is introduced, a closed-loop navigation framework centered on a language- conditioned Spatial Belief Field (SBF) that preserves multiple spatial hypotheses under par- tial evidence and further confirms the advantages of spatial-belief modeling over single-point prediction.

Hao-Tian Xu, Yue Hu, Zheng-Qiu Zhu et al. · 0 citations