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Can Language Model Understand Word Semantics as A Chatbot? An Empirical Study of Language Model Internal External Mismatch
by
Yue, Xingyu
, Zhao, Jinman
, Qian, Zifan
, Chen, Weizhe
, Zhang, Xueyan
, Wang, Ruiyu
in
Encoders-Decoders
/ Knowledge representation
/ Semantics
/ Words (language)
2024
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Can Language Model Understand Word Semantics as A Chatbot? An Empirical Study of Language Model Internal External Mismatch
by
Yue, Xingyu
, Zhao, Jinman
, Qian, Zifan
, Chen, Weizhe
, Zhang, Xueyan
, Wang, Ruiyu
in
Encoders-Decoders
/ Knowledge representation
/ Semantics
/ Words (language)
2024
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Can Language Model Understand Word Semantics as A Chatbot? An Empirical Study of Language Model Internal External Mismatch
Paper
Can Language Model Understand Word Semantics as A Chatbot? An Empirical Study of Language Model Internal External Mismatch
2024
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Overview
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.
Publisher
Cornell University Library, arXiv.org
Subject
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