Ryohei Kamei

Vulnerability of LLM Outputs to Heuristics-Inducing Prompt Structures

Large Language Models (LLMs) have become indispensable tools in daily life. Although LLM applications have rapidly expanded across various domains, distorted outputs (specifically, bias and hallucination) are unresolved problems that threaten the reliability of LLM-based artificial intelligence (AI) agents. Focusing o…