AI
Withdrawn Proposal Outlines Framework for Testing LLMs on Mandarin Grammar
A research proposal drafted to assess large language models' understanding of Chinese topic constructions and syntactic constraints has been withdrawn from arXiv.
A research paper proposing a methodology for evaluating how well large language models grasp the structure of Mandarin Chinese has been withdrawn from arXiv after initial submission in April 2025.
The Proposal's Focus#
The withdrawn paper, authored by Xiaodong Yang, outlined an evaluation framework aimed at probing LLMs' competence with Chinese topic constructions—grammatical patterns central to Mandarin syntax. The research was designed to measure how sensitive these models are to island constraints, linguistic boundaries that restrict where certain grammatical elements can be moved or extracted.
The proposal drew conceptual inspiration from Tian et al. (2024), extending earlier work into a structured experimental design for testing LLM behavior on Mandarin grammar.
Status and Intent#
Notably, the paper remained at the proposal stage—no actual experiments had been conducted when it was submitted. Instead, the author framed it as an invitation for methodological feedback and as a foundation to guide subsequent empirical work in the field.
The withdrawal occurred several months after the initial posting, reducing the paper to a minimal stub on the preprint server.
