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cs.CL2025
A Closer Look at System Prompt Robustness
Norman Mu, Jonathan Lu, Michael Lavery +1
System prompts have emerged as a critical control surface for specifying the behavior of LLMs in chat and agent settings. Developers depend on system prompts to specify important c…
cs.CL2024
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
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…