Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2022
DOI: 10.1145/3534678.3542908
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KDD Workshop on Machine Learning in Finance

Abstract: Pretrained Large Language Models (LLMs) have gained significant attention for addressing open-domain Question Answering (QA). While they exhibit high accuracy in answering questions related to common knowledge, LLMs encounter difficulties in learning about uncommon long-tail knowledge (tail entities). Since manually constructing QA datasets demands substantial human resources, the types of existing QA datasets are limited, leaving us with a scarcity of datasets to study the performance of LLMs on tail entities… Show more

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