Sign inGet started
Paper · arXiv

Where Does the Signal Live? A Web Data Recipe for Medical Encoder Pretraining

Web data curation has been widely studied for decoder Large Language Model (LLM) pretraining. Encoders for dense-terminology domains such as medicine, by contrast, are pretrained on small, manually-curated corpora that limit scalability and writing style diversity, a bottleneck even more severe in non-English clinical settings. Whether web-scale data curation also benefits encoder Masked Language Modeling (MLM) in a dense-terminology domain remains an open question. To address this, we introduce two complementary levers. Medical-term density filtering selects documents rich in medical terms. Signal-amplifying rephrasing uses an LLM to rewrite documents into denser variants with broader en...

AuthorsBofeng Huang, Jacques Sun, Diane Bouchacourt et al.
Primary categorycs.CL
Published20 June 2026
Last updated at source8 September 2026
cs.CLcs.LG
Embed this entry
<iframe src="https://silytics.si/embed/item/368d0fa5-461f-4006-8768-814499368978" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Connected in the knowledge graph

Explore this entry in the graph

Models and datasets referencing this paper

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.