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

Type
Preprint
Publication
arXiv preprint arXiv:2407.11017
Ryo Kamoi
Ryo Kamoi

Ryo Kamoi is a PhD candidate at Penn State University, supported by 2026 Google PhD Fellowship. His research focuses on self-evolving LLM agents and LLM-based verification of LLM responses and intermediate steps.