Jiancheng Lv

XAI Beyond Classification: Interpretable Neural Clustering

2018 · arXiv (Cornell University)

In this paper, we study two challenging problems in explainable AI (XAI) and data clustering. The first is how to directly design a neural network with inherent interpretability, rather than giving post-hoc explanations of a …

Noisy Pair Corrector for Dense Retrieval

2023

Most dense retrieval models contain an implicit assumption: the training query-document pairs are exactly matched. Since it is expensive to annotate the corpus manually, training pairs in real-world applications are usually collected automatically, which inevitably …