Software Engineers Improve LLM Confidence With SaySelf Rationales
SaySelf teaches LLMs to express confidence with self-reflective rationales, improving model calibration & transparency in language understanding & generation tasks.
This is a Plain English Papers summary of a research paper called SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter. Overview • This paper introduces SaySelf, a system that teaches large language models (LLMs) to express confidence in their own responses by generating self-reflective rationales. • The key idea is to train LLMs to not only generate outputs, but also to reason about and justify their own responses, which can help users better unde...