Jesse Thomason

Contrast set perturbations can dramatically boost failure detection in vision-language-action systems, outperforming conventional calibration techniques.

Voice input significantly hampers LLM accuracy due to structural transcription issues, while keyboard input is surprisingly more resilient.

Tailored persuasion strategies can dramatically increase evacuation success in high-stakes scenarios, outperforming conventional LLM approaches.