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        <title>LLMs Struggle with NLI for Perfect Aspect: A Cross-Linguistic Study in Chinese and Japanese</title>
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    <abstract>Unlike English, which uses distinct forms (e.g., had, has, will have) to mark the perfect aspect across tenses, Chinese and Japanese lack sep- arate grammatical forms for tense within the perfect aspect, which complicates Natural Lan- guage Inference (NLI). Focusing on the per- fect aspect in these languages, we construct a linguistically motivated, template-based NLI dataset (1,350 pairs per language). Experi- ments reveal that even advanced LLMs strug- gle with temporal inference, particularly in de- tecting subtle tense and reference-time shifts. These findings highlight model limitations and underscore the need for cross-linguistic evalua- tion in temporal semantics. Our dataset is avail- able at https://github.com/Lujie2001/ CrossNLI.</abstract>
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%0 Conference Proceedings
%T LLMs Struggle with NLI for Perfect Aspect: A Cross-Linguistic Study in Chinese and Japanese
%A Jie, Lu
%A Jin, Du
%A Yanaka, Hitomi
%Y Evang, Kilian
%Y Kallmeyer, Laura
%Y Pogodalla, Sylvain
%S Proceedings of the 16th International Conference on Computational Semantics
%D 2025
%8 September
%I Association for Computational Linguistics
%C Düsseldorf, Germany
%@ 979-8-89176-316-6
%F jie-etal-2025-llms
%X Unlike English, which uses distinct forms (e.g., had, has, will have) to mark the perfect aspect across tenses, Chinese and Japanese lack sep- arate grammatical forms for tense within the perfect aspect, which complicates Natural Lan- guage Inference (NLI). Focusing on the per- fect aspect in these languages, we construct a linguistically motivated, template-based NLI dataset (1,350 pairs per language). Experi- ments reveal that even advanced LLMs strug- gle with temporal inference, particularly in de- tecting subtle tense and reference-time shifts. These findings highlight model limitations and underscore the need for cross-linguistic evalua- tion in temporal semantics. Our dataset is avail- able at https://github.com/Lujie2001/ CrossNLI.
%U https://aclanthology.org/2025.iwcs-main.8/
%P 89-97

Markdown (Informal)

[LLMs Struggle with NLI for Perfect Aspect: A Cross-Linguistic Study in Chinese and Japanese](https://aclanthology.org/2025.iwcs-main.8/) (Jie et al., IWCS 2025)

• LLMs Struggle with NLI for Perfect Aspect: A Cross-Linguistic Study in Chinese and Japanese (Jie et al., IWCS 2025)

ACL

• Lu Jie, Du Jin, and Hitomi Yanaka. 2025. LLMs Struggle with NLI for Perfect Aspect: A Cross-Linguistic Study in Chinese and Japanese. In Proceedings of the 16th International Conference on Computational Semantics, pages 89–97, Düsseldorf, Germany. Association for Computational Linguistics.