1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 1 cited
A Comparative Study of Translation Bias and Accuracy in Multilingual Large Language Models for Cross-Language Claim Verification
Aryan Singhal, Veronica Shao, Gary Sun +3
The rise of digital misinformation has heightened interest in using multilingual Large Language Models (LLMs) for fact-checking. This study systematically evaluates translation bia…
cs.CL2024★ 1 cited
Fine-Tuning Language Models for Ethical Ambiguity: A Comparative Study of Alignment with Human Responses
Pranav Senthilkumar, Visshwa Balasubramanian, Prisha Jain +3
Language models often misinterpret human intentions due to their handling of ambiguity, a limitation well-recognized in NLP research. While morally clear scenarios are more discern…