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
Real-world inference tasks for large language models exhibit diverse difficulty levels. Existing LLM serving systems integrate models of different sizes and attempt to route tasks of appropriate difficulty to the most suitable model, aiming to reduce resource waste while guaranteeing service quality. Such systems usual...
Hao Wei, Lu-Jia Yin, Chen Chen et al.· Fall Joint Computer Conferen...· 0 citations
Multi-turn retrieval-augmented generation (RAG) improves question answering by decomposing evidence seeking into iterative retrieval and reasoning steps. Existing multi-turn RAG methods usually optimize when and how to retrieve while fixing the number of retrieved documents per step. However, we discovered that this fi...
Jia-Nan Sun, Miao Zhang, Chen Chen et al.· Fall Joint Computer Conferen...· 0 citations
As computing resources in cloud environments become increasingly abundant, executing complex scientific workflows on large-scale cloud infrastructure has become a standard practice. However, communication-intensive workflows face two fundamental bottlenecks. First, the lack of physical topology awareness often forces h...
Hao Wei, Hai-Liang Chen, Jia-Nan Sun et al.· Fall Joint Computer Conferen...· 0 citations
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