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DISCERN: Can AI Agents Work Like Scientists and Guide Discovery?
Reliable automated research requires agents to vet data, verify analyses, and generate hypotheses grounded in trustworthy evidence, potentially reducing routine scientific workload while allowing scientists to focus on interpretation and discovery. Existing benchmarks often only assess analytical task completion or hyp...
EvoLen: Evolution-Guided Tokenization for DNA Language Model
EvoLen is a tokenizer that combines evolutionary stratification with length-aware decoding to better preserve motif-scale functional sequence units and demonstrates that tokenization introduces a critical inductive bias and that incorporating evolutionary information yields more biologically meaningful and interpretabl...