Papers by Lucas Hurley McCabe
Demystifying optimized prompts in language models (2025.emnlp-main)
Copied to clipboard
| Challenge: | Modern language models (LMs) are not robust to out-of-distribution inputs. |
| Approach: | They investigate the composition of machine generated (“optimized”) prompts and the mechanisms by which LMs parse and build predictions from them. |
| Outcome: | The proposed prompts are primarily composed of punctuation and noun tokens, which are more rare in the training data. |