Can Language Model Understand Word Semantics as A Chatbot? An Empirical Study of Language Model Internal External Mismatch
Computation and Language
2024-09-24 v1
Abstract
Current common interactions with language models is through full inference. This approach may not necessarily align with the model's internal knowledge. Studies show discrepancies between prompts and internal representations. Most focus on sentence understanding. We study the discrepancy of word semantics understanding in internal and external mismatch across Encoder-only, Decoder-only, and Encoder-Decoder pre-trained language models.
Cite
@article{arxiv.2409.13972,
title = {Can Language Model Understand Word Semantics as A Chatbot? An Empirical Study of Language Model Internal External Mismatch},
author = {Jinman Zhao and Xueyan Zhang and Xingyu Yue and Weizhe Chen and Zifan Qian and Ruiyu Wang},
journal= {arXiv preprint arXiv:2409.13972},
year = {2024}
}
Comments
10 pages, 1 figure, 5 tables