Program / GS-04: LLM Applications, Reasoning & Multi-Agent Systems
GS-04: LLM Applications, Reasoning & Multi-Agent Systems
November 05 (Thursday) · 10:20–12:20 · Room 2
Chair: Takeru Aoki (The University of Tokyo)
Back to timetableQuestion Answering using Hierarchy-Aware Retrieval-Augmented Generation for Sports Competition Rules
Comparing Problem-Specific and Mean Hidden-State Interventions for Context-Reconstructed Reasoning
A Deep Learning Generative Model for Automatic Role-Play Prompt Generation
A Genetic-Fuzzy Consensus Framework for Multi-Agent LLM Differential Diagnosis Under Uncertainty
Presentations finish at 11:55. The scheduled session ends at 12:20.
Full paper: 15 minutes presentation + 5 minutes Q&A. Short, abstract-only and late breaking papers: 10 minutes presentation + 5 minutes Q&A. Speakers should bring their own laptop; presentation PCs are not provided.