This work presents TheBioCollection, a 52.6B-token pre-training-scale corpus that converts these disparate resources into a unified, training-ready form spanning small molecules, proteins, genomic sequences, cells, and pathways, and introduces new instruction tasks for capabilities that current corpora barely cover.
Hyunjin Seo, Hyeon Hwang, Gyubok Lee et al.· arXiv.org· 0 citations
A mechanistic intervention framework for identifying and transferring task-relevant sparse latent features across languages and reframes some cross-lingual reasoning gaps as failures of mechanism elicitation rather than capability absence, and offers a causally testable route to feature-mediated transfer without translation, fine-tuning, or changing the user-facing language.
Minju Song, Hyeon Hwang, Junhyun Lee et al.· 0 citations
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