5 papers
SkillTrace: Traversing a Query-Skill Graph for Composable LLM Agents
Yue Yao, Shengyuan Wang, Xin Chen +4
Large language model agents increasingly solve complex tasks by composing reusable skills from a library. To address this, the key challenge is not merely to retrieve individually…
A Utility-preserving De-identification Pipeline for Cross-hospital Radiology Data Sharing
Chenhao Liu, Zelin Wen, Yan Tong +7
Large-scale radiology data are critical for developing robust medical AI systems. However, sharing such data across hospitals remains heavily constrained by privacy concerns. Exist…
EEG-Based Brain-LLM Interface for Human Preference Aligned Generation
Junzi Zhang, Jianing Shen, Weijie Tu +5
Large language models (LLMs) are becoming an increasingly important component of human--computer interaction, enabling users to coordinate a wide range of intelligent agents throug…
Bipartite Mode Matching for Vision Training Set Search from a Hierarchical Data Server
Yue Yao, Ruining Yang, Tom Gedeon
We explore a situation in which the target domain is accessible, but real-time data annotation is not feasible. Instead, we would like to construct an alternative training set from…
An Appraisal-Based Approach to Human-Centred Explanations
Rukshani Somarathna, Madhawa Perera, Tom Gedeon +1
Explainability remains a critical challenge in artificial intelligence (AI) systems, particularly in high stakes domains such as healthcare, finance, and decision support, where us…