2 citations · 3 across the 5 of their papers we have counts for
5 papers
Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation
Xuemei Tang, Xufeng Duan, Zhenguang G. Cai
Large language models (LLMs) are increasingly used to generate multiple-choice questions (MCQs), where correct answers should ideally be uniformly distributed across options. Howev…
CHisAgent: A Multi-Agent Framework for Event Taxonomy Construction in Ancient Chinese Cultural Systems
Xuemei Tang, Chengxi Yan, Jinghang Gu +1
Despite strong performance on many tasks, large language models (LLMs) show limited ability in historical and cultural reasoning, particularly in non-English contexts such as Chine…
Joint Information Extraction Across Classical and Modern Chinese with Tea-MOELoRA
Xuemei Tang, Chengxi Yan, Jinghang Gu +1
Chinese information extraction (IE) involves multiple tasks across diverse temporal domains, including Classical and Modern documents. Fine-tuning a single model on heterogeneous t…
Large Language Models for Automated Literature Review: An Evaluation of Reference Generation, Abstract Writing, and Review Composition
Xuemei Tang, Xufeng Duan, Zhenguang G. Cai
Large language models (LLMs) have emerged as a potential solution to automate the complex processes involved in writing literature reviews, such as literature collection, organizat…
HLB: Benchmarking LLMs' Humanlikeness in Language Use
Xufeng Duan, Bei Xiao, Xuemei Tang +1
As synthetic data becomes increasingly prevalent in training language models, particularly through generated dialogue, concerns have emerged that these models may deviate from auth…