most citedAnalyzing Syntactic Generalization Capacity of Pre-trained Language Models on Japanese Honorific Conversion

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CL2024

JBBQ: Japanese Bias Benchmark for Analyzing Social Biases in Large Language Models

Hitomi Yanaka, Namgi Han, Ryoma Kumon +5

With the development of large language models (LLMs), social biases in these LLMs have become a pressing issue. Although there are various benchmarks for social biases across langu…

cs.CL2023

Constructing Multilingual Code Search Dataset Using Neural Machine Translation

Ryo Sekizawa, Nan Duan, Shuai Lu +1

Code search is a task to find programming codes that semantically match the given natural language queries. Even though some of the existing datasets for this task are multilingual…

cs.CL2023★ 1 cited

Analyzing Syntactic Generalization Capacity of Pre-trained Language Models on Japanese Honorific Conversion

Ryo Sekizawa, Hitomi Yanaka

Using Japanese honorifics is challenging because it requires not only knowledge of the grammatical rules but also contextual information, such as social relationships. It remains u…