It's Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination Reasoning

Chain-of-thought (COT) prompting can help large language models (LLMs) reason toward correct answers, but its efficacy in reasoning toward incorrect answers is unexplored. This process of elimination (PoE), when used with COT, can enhance self-consistency, interpretability, and tasks such as medical...

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Hauptverfasser:	Balepur, Nishant, Palta, Shramay, Rudinger, Rachel
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
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