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cs.CL2024
A Better LLM Evaluator for Text Generation: The Impact of Prompt Output Sequencing and Optimization
KuanChao Chu, Yi-Pei Chen, Hideki Nakayama
This research investigates prompt designs of evaluating generated texts using large language models (LLMs). While LLMs are increasingly used for scoring various inputs, creating ef…
cs.CL2024★ 2 cited
Recent Trends in Personalized Dialogue Generation: A Review of Datasets, Methodologies, and Evaluations
Yi-Pei Chen, Noriki Nishida, Hideki Nakayama +1
Enhancing user engagement through personalization in conversational agents has gained significance, especially with the advent of large language models that generate fluent respons…