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cs.CL2024
Leveraging large language models for efficient representation learning for entity resolution
Xiaowei Xu, Bi T. Foua, Xingqiao Wang +2
In this paper, the authors propose TriBERTa, a supervised entity resolution system that utilizes a pre-trained large language model and a triplet loss function to learn representat…
cs.CL2024★ 4 cited
Towards Trustable Language Models: Investigating Information Quality of Large Language Models
Rick Rejeleene, Xiaowei Xu, John Talburt
Large language models (LLM) are generating information at a rapid pace, requiring users to increasingly rely and trust the data. Despite remarkable advances of LLM, Information gen…