Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation

Publication
arXiv preprint arXiv:2407.11017
Ryo Kamoi
Ryo Kamoi

Ryo Kamoi is a PhD candidate at Penn State University. His research interests lie in large language models (LLMs), with a particular focus on the reasoning capabilities and self-improvement of LLMs.