Jerry-723

https://github.com/Shark-NLP/OpenICL/blob/1613ae10b88ba2dbfed425c4ee078b2a6586152e/openicl/icl_retriever/icl_topk_retriever.py#L113 When using faiss for candidate example selection, the vector inner product distance is the closest. Why not use cosine similarity? The embedding is not normalized, and the calculation results...