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cs.CL2025★ 1 cited
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★ 2 cited
Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis
Zongxia Li, Andrew Mao, Daniel Stephens +5
Topic models are a popular tool for understanding text collections, but their evaluation has been a point of contention. Automated evaluation metrics such as coherence are often us…