Papers with JBLiMP
A Systematic Assessment of Language Models with Linguistic Minimal Pairs in Chinese (2026.tacl-1)
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Yikang Liu, Yeting Shen, Hongao Zhu, Lilong Xu, Zhiheng Qian, Siyuan Song, Kejia Zhang, Jialong Tang, Pei Zhang, Baosong Yang, Rui Wang, Hai Hu
| Challenge: | Using sub-linear length normalized log-probabilities (SLLN-LP), we find unequal lengths of sentences in minimal pairs difficult for LMs even up to 32B parameters. |
| Approach: | They propose to use ZhoBLiMP as a linguistic minimal pair benchmark for Chinese language models to mitigate biases. |
| Outcome: | The proposed metric mitigates biases in Chinese language models with over 100 paradigms . Anaphor, Quantifiers, and Ellipsis are difficult for LMs even up to 32B parameters . |
JBLiMP: Japanese Benchmark of Linguistic Minimal Pairs (2023.findings-eacl)
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| Challenge: | In this paper, we compare syntactic knowledge of language models across different languages. |
| Approach: | They introduce a dataset for targeted syntactic evaluations of language models in Japanese. |
| Outcome: | The proposed dataset compares the syntactic knowledge of language models across languages. |