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cs.LG2024
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective
Shenglai Zeng, Jiankun Zhang, Bingheng Li +8
Retrieval-Augmented Generation (RAG) systems have shown promise in enhancing the performance of Large Language Models (LLMs). However, these systems face challenges in effectively…
cs.LG2024
GIO: Gradient Information Optimization for Training Dataset Selection
Dante Everaert, Christopher Potts
It is often advantageous to train models on a subset of the available train examples, because the examples are of variable quality or because one would like to train with fewer exa…