Papers by Piotr Molenda
WaterJudge: Quality-Detection Trade-off when Watermarking Large Language Models (2024.findings-naacl)
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| Challenge: | Recent work has shown that small, context-dependent shifts in word distributions can be used to apply and detect watermarks, but little work has analyzed the impact of these perturbations on the quality of generated texts. |
| Approach: | They propose a framework that allows for analysis of the impact of watermark settings on the quality of generated texts. |
| Outcome: | The proposed framework provides easy visualization of the quality-detection trade-off of watermark settings. |