Model-guided directed evolution seeks to identify high-fitness protein variants under limited oracle budgets. Protein language models (PLMs) provide rich representations for this task, but task-agnostic zero-shot scores can be misaligned with a target assay, while supervised search in high-dimensional embedding spaces...
Si-Yuan Ma, Can-Ran Xiao, Zi-Kai Xiao et al.· 0 citations
This work presents a principled analysis of the distributions induced by lossy verification methods, and shows that many seemingly distinct approaches differ only superficially and can be unified into two categories: truncation-based verification and collaborative verification.
Tian-Yu Wang, Yuxuan Zhou, Heng Li et al.· arXiv.org· 0 citations
FedGPA is proposed, a hierarchical framework in which clients with comparable resources and identical architectures form a group and a server mediates knowledge transfer across groups of diverse models, and at its core, the lightweight, model-agnostic Aligned Co-decision (Alco) Unit aligns class-level prototypical info...
Liyinglan Liu, Zikai Xiao, Zi-Han Chen et al.· Journal of Machine Learning...· 0 citations
Experiments on long-horizon embodied and web-agent benchmarks show that MemPrism consistently improves the task performance, especially as trajectories become longer, while reducing memory token consumption.
Zhi-Sheng Chen, Bingfan Zeng, Bangde Cao et al.· 0 citations
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