Trajectory planning for autonomous driving requires both high-level reasoning and precise low-level control. Large Language Models (LLMs) offer semantic-rich planning capabilities, however, their application is limited by hallucinated reasoning, poor grounding in environment dynamics, and limited numerical precision in...
Zhihong Cui, Hengyu Liu, Zhang-Kai Wu et al.· 0 citations
Every blockchain transaction carries a timestamp, and the chain imposes a total order. On-chain data therefore forms per-source time-series streams. However, existing systems support only basic lookups on blocks and transactions, and cannot answer time-series queries such as time-range retrieval and windowed aggregatio...
Zhong-Ming Yao, Jun Pang, Chen-Xu Wang et al.· 0 citations
This work presents ongoing research on the frequency-scaling behavior of NVIDIA GPUs when executing ML/AI workloads. Our preliminary findings show that, on lower-performance GPUs, the operating frequency is strongly affected by the recent workload history-typically within an 80ms window. This behavior challenges a comm...
T. Le, Hoang-Loc La, Amirhosein Taherkordi et al.· 2026 IEEE 26th International...· 1 citation
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