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20242026
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cs.CL2026

Probing Association Biases in LLM Moderation Over-Sensitivity

Yuxin Wang, Botao Yu, Ivory Yang +2

Large Language Models are widely used for content moderation but often present certain over-sensitivity, leading to misclassification of benign content and rejecting safe user comm…

cs.CL2025

Advancing Uto-Aztecan Language Technologies: A Case Study on the Endangered Comanche Language

Jesus Alvarez C, Daua D. Karajeanes, Ashley Celeste Prado +5

The digital exclusion of endangered languages remains a critical challenge in NLP, limiting both linguistic research and revitalization efforts. This study introduces the first com…

cs.CL2025

Communication is All You Need: Persuasion Dataset Construction via Multi-LLM Communication

Weicheng Ma, Hefan Zhang, Ivory Yang +8

Large Language Models (LLMs) have shown proficiency in generating persuasive dialogue, yet concerns about the fluency and sophistication of their outputs persist. This paper presen…

cs.CL2025

Is It Navajo? Accurate Language Detection in Endangered Athabaskan Languages

Ivory Yang, Weicheng Ma, Chunhui Zhang +1

Endangered languages, such as Navajo - the most widely spoken Native American language - are significantly underrepresented in contemporary language technologies, exacerbating the…

cs.CL2025

NushuRescue: Revitalization of the Endangered Nushu Language with AI

Ivory Yang, Weicheng Ma, Soroush Vosoughi

The preservation and revitalization of endangered and extinct languages is a meaningful endeavor, conserving cultural heritage while enriching fields like linguistics and anthropol…

cs.CL2024

Enhanced Detection of Conversational Mental Manipulation Through Advanced Prompting Techniques

Ivory Yang, Xiaobo Guo, Sean Xie +1

This study presents a comprehensive, long-term project to explore the effectiveness of various prompting techniques in detecting dialogical mental manipulation. We implement Chain-…