9月の学内共同研究促進トークは、渡辺太郎 先生にご講演いただきました。

タイトルと概要は以下になります。

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渡辺太郎　教授（自然言語処理学研究室）

TITLE:
Language Model Knowledge Probing

ABSTRACT：

Language models have been employed in various knowledge-intensive tasks, like question-answering, and it is critical to investigate the factual knowledge encoded in language models. In this study, we propose an efficient knowledge probing method, DEcoder Embedding-based Relational (DEER), in which both queries and answers are encoded by language model internal representations, allowing efficient inference and robust probing.