Fine-grained Hallucination Detection and Mitigation in Language Model
Mathematical Reasoning
Fine-grained Hallucination Detection and Mitigation in Language Model
Mathematical Reasoning
Hallucinations in large language models (LLMs) pose significant challenges in tasks requiring complex multi-step reasoning, such as mathematical problem-solving. Existing approaches primarily detect the presence of hallucinations but lack a nuanced understanding of their types and manifestations. In this paper, we first introduce a comprehensive taxonomy that categorizes the common …