most citedExtracting Lexical Features from Dialects via Interpretable Dialect Classifiers

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cs.CL2024

ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods

Roy Xie, Junlin Wang, Ruomin Huang +5

The rapid scaling of large language models (LLMs) has raised concerns about the transparency and fair use of the data used in their pretraining. Detecting such content is challengi…

cs.CL2024

Tailoring Vaccine Messaging with Common-Ground Opinions

Rickard Stureborg, Sanxing Chen, Ruoyu Xie +6

One way to personalize chatbot interactions is by establishing common ground with the intended reader. A domain where establishing mutual understanding could be particularly impact…

cs.CL20241 cited

Extracting Lexical Features from Dialects via Interpretable Dialect Classifiers

Roy Xie, Orevaoghene Ahia, Yulia Tsvetkov +1

Identifying linguistic differences between dialects of a language often requires expert knowledge and meticulous human analysis. This is largely due to the complexity and nuance in…

cs.CL2024

Adversarial Math Word Problem Generation

Roy Xie, Chengxuan Huang, Junlin Wang +1

Large language models (LLMs) have significantly transformed the educational landscape. As current plagiarism detection tools struggle to keep pace with LLMs' rapid advancements, th…

cs.CL2023

GMNLP at SemEval-2023 Task 12: Sentiment Analysis with Phylogeny-Based Adapters

Md Mahfuz Ibn Alam, Ruoyu Xie, Fahim Faisal +1

This report describes GMU's sentiment analysis system for the SemEval-2023 shared task AfriSenti-SemEval. We participated in all three sub-tasks: Monolingual, Multilingual, and Zer…

cs.CL2023

Noisy Parallel Data Alignment

Ruoyu Xie, Antonios Anastasopoulos

An ongoing challenge in current natural language processing is how its major advancements tend to disproportionately favor resource-rich languages, leaving a significant number of…