Research

PertMind: Eliciting Emergent Biological Reasoning in LLM via Reinforcement Learning on Cellular Perturbation Data

Single source1 source7 Oct 2026

arXiv:2608.16419v3 Announce Type: replace-cross Abstract: Large language models can describe mechanisms, yet scalable post-training still depends on costly, manually curated biological reasoning traces.

Reported by 1 source

arxiv.orghttps://arxiv.org/abs/2608.16419

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