MEMENTO: Leveraging Web as a Learning Signal for Low-Data Domains

Excerpt

arXiv:2605.29795v2 Announce Type: replace Abstract: Real-world tasks often lack large labeled datasets, motivating extensive work on learning in low-data regimes. Existing approaches such as few-shot prompting, instruction tuning, and synthetic data generation, continue to treat labeled or pseudo-labeled data as the primary learning signal. In contrast, human practitioners acquire expertise through repeated, self-directed interaction with the open web, progressively refining both domain knowledg