Papers by Vasileios Lampos
Machine-generated text detection prevents language model collapse (2025.emnlp-main)
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| Challenge: | Large Language Models (LLMs) are increasingly prevalent across the web, resulting in a degenerative process whereby LLMs reinforce their own errors and reduce output diversity. |
| Approach: | They propose to use machine-generated text to reduce model collapse by up-sampling likely human content in training data. |
| Outcome: | The proposed approach prevents model collapse and improves performance compared to training on purely human data. |