4 papers
Benchmarking LLM Summaries of Multimodal Clinical Time Series for Remote Monitoring
Aditya Shukla, Yining Yuan, Ben Tamo +7
Large language models (LLMs) can generate fluent clinical summaries of remote therapeutic monitoring time series. However, it remains unclear whether these narratives faithfully ca…
Grammar of the Wave: Towards Explainable Multivariate Time Series Event Detection via Neuro-Symbolic VLM Agents
Sky Chenwei Wan, Yifei Y. Wang, Tianjun Hou +2
Time Series Event Detection (TSED) aims to localize semantically meaningful events in time series data, with critical applications in high-stakes domains. Unlike statistical anomal…
Large Language Model based Smart Contract Auditing with LLMBugScanner
Yining Yuan, Yifei Wang, Yichang Xu +3
This paper presents LLMBugScanner, a large language model (LLM) based framework for smart contract vulnerability detection using fine-tuning and ensemble learning. Smart contract a…
Leveraging Evidence-Guided LLMs to Enhance Trustworthy Depression Diagnosis
Yining Yuan, J. Ben Tamo, Micky C. Nnamdi +2
Large language models (LLMs) show promise in automating clinical diagnosis, yet their non-transparent decision-making and limited alignment with diagnostic standards hinder trust a…