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

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2024

Analyzing Correlations Between Intrinsic and Extrinsic Bias Metrics of Static Word Embeddings With Their Measuring Biases Aligned

Taisei Katô, Yusuke Miyao

We examine the abilities of intrinsic bias metrics of static word embeddings to predict whether Natural Language Processing (NLP) systems exhibit biased behavior. A word embedding…

cs.CL2024★ 3 cited

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…