… Our method is a heterogeneous ensemble of seven LLMs with two prompting variants , where a GPT-4o-mini judge selects the best candidate per instance. …
… We define two benchmark tasks: determining whether a candidate sentence provides valid marker evidence for a gene-cell-type pair, and classifying the evidence into expression, localization, function, indirect, or negative categories. …
… We formalize rollout pipelines with unified notation and introduce Generate-Filter-Control-Replay GFCR , a lifecycle taxonomy that decomposes rollout pipelines into four modular stages: Generate proposes candidate trajectories and topologies; Filter constructs intermediate signals via verifiers , j… …
… The policy generates a query to search the skill library , re-ranks candidates to select one, solves the task conditioned on it, and distills a new skill from the trajectory. …
… Curated from 230 student-submitted candidates through rigorous expert review, the final task set spans 25+ professional domains, ranging from olympiad-level mathematics and linguistics problems to GPU-intensive reinforcement learning and full-stack system debugging, with 16 tasks requiring CUDA GPU… …
… ESamp uses the prediction error as a novelty signal to reweight candidate token extensions conditioned on the current prefix, thereby biasing decoding toward less-explored semantic patterns. …