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
K-EXAONE 2.0 improves over K-EXAONE and remains competitive with open-weight models, showing its largest gains in agentic coding and long-context understanding and its clearest strengths in long-context retrieval and safety.
Eunbi Choi, Kibong Choi, Sehyun Chun et al.· 0 citations
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