Longkai Liu

Self-Reflection and Error-Correction Mechanisms in LLMs Driven by Reinforcement Learning

Large language models have shown very strong abilities on complex reason work, but they still have many problems, these problems include error accumulation and hallucinations. Therefore, letting these models have the ability of self-reflection and error correction has hence become a core research focus. This research p...