Hugging Face Trending Papers
Aug 3

Human-LLM Alignment in Language Attitudes Toward Non-Native Japanese

Large language models (LLMs) increasingly evaluate human writing in high-stakes domains such as hiring and academic assessment, putting non-native speakers at particular risk. Drawing on the language attitudes framework, we compared human and LLM evaluations of parallel L1- and L2-written Japanese emails on three dimensions: fluency, status, and solidarity.

arXiv Computation and Language
Aug 28

PragAlign: Evidence-Sensitive Reply Assistance Across Chinese and Japanese Appropriateness Judgments

PragAlign is a reply‑assistance system that separates context reading from selective clarification, designed for multilingual settings. In evaluations with native Chinese and Japanese speakers, PragAlign achieved better rankings than baseline methods in Chinese and the highest top‑rank rate in Japanese, while both groups often chose the same top condition. The study highlights both shared and language‑specific judgment patterns that can inform culturally aware reply‑assistance tools.

By Xin Zhong, Satori Hachisuka
arXiv Computation and Language
Oct 27

Do Language Models Understand Igbo Culture? Beyond Multiple Choice

arXiv:2610.35168v1 Announce Type: new Abstract: The value of language models for any community depends on whether a model actually understands the culture of the people it intends to serve. We use th...

By Blessing Ngozi Uzor, Valdini Douglace Lemofouet, Paula Chikaodinaka Anyanwu, Tassallah Abdullahi, Clemencia Siro, Idris Abdulmumin, Seid Muhie Yimam, Shamsuddeen Hassan Muhammad