Publications (6)
Lowest Span Confidence: A Zero-Shot Metric for Efficient and Black-Box Hallucination Detection in LLMs
Yitong Qiao, Licheng Pan, Yu Mi +4
Hallucinations in Large Language Models (LLMs), i.e., the tendency to generate plausible but non-factual content, pose a significant challenge for their reliable deployment in high…
scAgent: Universal Single-Cell Annotation via a LLM Agent
Yuren Mao, Yu Mi, Peigen Liu +3
Cell type annotation is critical for understanding cellular heterogeneity. Based on single-cell RNA-seq data and deep learning models, good progress has been made in annotating a f…
LFRAG: Layout-oriented Fine-grained Retrieval-Augmented Generation on Multimodal Document Understanding
Yifan Zhu, Yu Mi, Yue Lu +2
Multimodal Retrieval-Augmented Generation (RAG) has emerged as an effective paradigm for enhancing Large Language Models (LLMs) with external knowledge. However, existing multimoda…
A Survey on LoRA of Large Language Models
Yuren Mao, Yuhang Ge, Yijiang Fan +4
Low-Rank Adaptation~(LoRA), which updates the dense neural network layers with pluggable low-rank matrices, is one of the best performed parameter efficient fine-tuning paradigms.…
FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis
Chao Zhang, Yuren Mao, Yijiang Fan +5
Text-to-SQL, which provides zero-code interface for operating relational databases, has gained much attention in financial analysis; because, financial professionals may not well-s…
Tree embedding based mapping system for low-latency mobile applications in multi-access networks
Yu Mi, Randeep Bhatia, Fang Hao +3
Low-latency applications like AR/VR and online gaming need fast, stable connections. New technologies such as V2X, LEO satellites, and 6G bring unique challenges in mobility manage…