Milan Bhan

Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations

Incorporating natural language rationales in the prompt and In-Context Learning (ICL) have led to a significant improvement of Large Language Models (LLMs) performance. However, generating high-quality rationales require human-annotation or the use of auxiliary proxy models. In this work, we propose…