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2025 ICML ICML 2025

Overestimation in LLM Evaluation: A Controlled Large-Scale Study on Data Contamination’s Impact on Machine Translation

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Muhammed Yusuf Kocyigit, Eleftheria Briakou, Daniel Deutsch, Jiaming Luo, Colin Cherry, Markus Freitag

Topics

Machine Learning > Application Areas > Domain Adaptation Natural Language Processing > Applications > Machine Translation Artificial Intelligence > Core AI > Large Language Models

Keywords

machine translation pretraining data overestimation contamination bleu large-scale study
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