2 papers
cs.AI2026
DISCERN: Can AI Agents Work Like Scientists and Guide Discovery?
Nan Huang, Mario Tapia-Pacheco, Kun Zhou +4
Reliable automated research requires agents to vet data, verify analyses, and generate hypotheses grounded in trustworthy evidence, potentially reducing routine scientific workload…
cs.LG2026
EvoLen: Evolution-Guided Tokenization for DNA Language Model
Nan Huang, Xiaoxiao Zhou, Junxia Cui +4
Tokens serve as the basic units of representation in DNA language models (DNALMs), yet their design remains underexplored. Unlike natural language, DNA lacks inherent token boundar…