1 citations · 1 across the 2 of their papers we have counts for
4 papers
aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists
Pengsong Zhang, Xiang Hu, Guowei Huang +20
Recent advances in large language models (LLMs) have enabled AI agents to autonomously generate scientific proposals, conduct experiments, author papers, and perform peer reviews.…
HGTS-Former: Hierarchical HyperGraph Transformer for Multivariate Time Series Analysis
Hao Si, Xiao Wang, Fan Zhang +5
Multivariate time series analysis has long been one of the key research topics in the field of artificial intelligence. However, analyzing complex time series data remains a challe…
EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting
Zhongzhi Yu, Zheng Wang, Yuhan Li +6
Efficient adaption of large language models (LLMs) on edge devices is essential for applications requiring continuous and privacy-preserving adaptation and inference. However, exis…
Revolutionizing student course selection: Exploring the application prospects and challenges of blockchain token voting technology
Tiansu Hu, Yuzhao Song, Linjing Zhang +1
This paper explores the utilization of blockchain token voting technology in student course selection systems. The current course selection systems face various issues, which can b…