Papers by Vivek Verma
Ghostbuster: Detecting Text Ghostwritten by Large Language Models (2024.naacl-long)
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| Challenge: | Ghostbuster is a system that passes documents through weaker language models, runs a structured search over possible combinations of their features, and trains a classifier on the selected features. |
| Approach: | They propose a method that passes documents through weaker language models, runs a structured search over possible combinations of their features, and trains a classifier on the selected features. |
| Outcome: | The proposed method outperforms existing detectors and a new baseline on student essays, creative writing, and news articles. |
Revisiting Entropy Rate Constancy in Text (2023.findings-emnlp)
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| Challenge: | Existing evidence supports the uniform information density hypothesis . however, we re-evaluate the hypothesis with neural language models . |
| Approach: | They propose to use n-gram language models to argue that English documents exhibit entropy rate constancy . they re-evaluate the claims of Genzel and Charniak with neural language models . |
| Outcome: | The proposed hypothesis fails to support the proposed hypothesis with language models. |