3 papers
cs.CL2026
Beyond Accuracy: Community Perspectives on Machine Translation
Yujun Wang, Ehud Reiter, Shimei Pan +2
Despite remarkable progress in machine translation (MT), non-AI communities have raised growing concerns about MT systems, suggesting a noticeable gap between technical advancement…
cs.CL2025
You've Changed: Detecting Modification of Black-Box Large Language Models
Alden Dima, James Foulds, Shimei Pan +1
Large Language Models (LLMs) are often provided as a service via an API, making it challenging for developers to detect changes in their behavior. We present an approach to monitor…
cs.CL2024
GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models
Tao Zhang, Ziqian Zeng, Yuxiang Xiao +4
Large Language Models (LLMs) are prone to generating content that exhibits gender biases, raising significant ethical concerns. Alignment, the process of fine-tuning LLMs to better…