Papers by Arthur Wuhrmann
Low-Perplexity LLM-Generated Sequences and Where To Find Them (2025.acl-srw)
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| Challenge: | Large Language Models (LLMs) are increasingly applied across various domains, but the ways they leverage their training data during inference remains only partially understood. |
| Approach: | They propose a systematic approach that analyzes low-perplexity sequences and traces them back to their sources in the training data. |
| Outcome: | The proposed pipeline extracts low-perplexity sequences across diverse topics while avoiding degeneration, then trace them back to their sources in the training data. |