activity
20232026
most citedArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models

31 citations · 31 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2026

A Systematic Analysis of the Predictive Power of LM Surprisal in Reading Chinese

Hongao Zhu, Muxiaoqiao Xu, Yikang Liu +4

This study analyzes the predictive power of LM-derived, token-level surprisal on Mandarin Chinese reading times. We first propose the Shortest Matching Sequence (SMS), an alignment…

cs.CL2025

Math Natural Language Inference: this should be easy!

Valeria de Paiva, Qiyue Gao, Hai Hu +4

We ask whether contemporary LLMs are able to perform natural language inference (NLI) tasks on mathematical texts. We call this the Math NLI problem. We construct a corpus of Math…

cs.CL2025

Translationese-index: Using Likelihood Ratios for Graded and Generalizable Measurement of Translationese

Yikang Liu, Wanyang Zhang, Yiming Wang +6

Translationese refers to linguistic properties that usually occur in translated texts. Previous works study translationese by framing it as a binary classification between original…

cs.CL2024

A Systematic Assessment of Language Models with Linguistic Minimal Pairs in Chinese

Yikang Liu, Yeting Shen, Hongao Zhu +9

We present ZhoBLiMP, the largest linguistic minimal pair benchmark for Chinese, with over 100 paradigms, ranging from topicalization to the \textit{Ba} construction. We then train…

cs.CL2023

MELA: Multilingual Evaluation of Linguistic Acceptability

Ziyin Zhang, Yikang Liu, Weifang Huang +3

In this work, we present the largest benchmark to date on linguistic acceptability: Multilingual Evaluation of Linguistic Acceptability -- MELA, with 46K samples covering 10 langua…

cs.CL2023★ 31 cited

ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models

Yikang Liu, Ziyin Zhang, Wanyang Zhang +5

AI generated content (AIGC) presents considerable challenge to educators around the world. Instructors need to be able to detect such text generated by large language models, eithe…