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Main Author: Yang, Xiaodong
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2504.14969
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author Yang, Xiaodong
author_facet Yang, Xiaodong
contents This paper proposes a framework for evaluating large language models (LLMs) on Chinese topic constructions, focusing on their sensitivity to island constraints. Drawing inspiration from Tian et al. (2024), we outline an experimental design for testing LLMs' grammatical knowledge of Mandarin syntax. While no experiments have been conducted yet, this proposal aims to provide a foundation for future studies and invites feedback on the methodology.
format Preprint
id arxiv_https___arxiv_org_abs_2504_14969
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Evaluating LLMs on Chinese Topic Constructions: A Research Proposal Inspired by Tian et al. (2024)
Yang, Xiaodong
Computation and Language
This paper proposes a framework for evaluating large language models (LLMs) on Chinese topic constructions, focusing on their sensitivity to island constraints. Drawing inspiration from Tian et al. (2024), we outline an experimental design for testing LLMs' grammatical knowledge of Mandarin syntax. While no experiments have been conducted yet, this proposal aims to provide a foundation for future studies and invites feedback on the methodology.
title Evaluating LLMs on Chinese Topic Constructions: A Research Proposal Inspired by Tian et al. (2024)
topic Computation and Language
url https://arxiv.org/abs/2504.14969