2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 2 cited
Cohesive Conversations: Enhancing Authenticity in Multi-Agent Simulated Dialogues
KuanChao Chu, Yi-Pei Chen, Hideki Nakayama
This paper investigates the quality of multi-agent dialogues in simulations powered by Large Language Models (LLMs). Analyzing dialogues and memory over multiple sessions revealed…
cs.CV2024
Enhanced Data Transfer Cooperating with Artificial Triplets for Scene Graph Generation
KuanChao Chu, Satoshi Yamazaki, Hideki Nakayama
This work focuses on training dataset enhancement of informative relational triplets for Scene Graph Generation (SGG). Due to the lack of effective supervision, the current SGG mod…
cs.CL2024
LLM as a Scorer: The Impact of Output Order on Dialogue Evaluation
Yi-Pei Chen, KuanChao Chu, Hideki Nakayama
This research investigates the effect of prompt design on dialogue evaluation using large language models (LLMs). While LLMs are increasingly used for scoring various inputs, creat…