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cs.LG2026
CSULoRA: Closest Safe Update Low-Rank Adaptation
Oleksandr Marchenko Breneur, Adelaide Danilov, Aria Nourbakhsh +1
Low-rank adaptation has become a standard method for parameter-efficient fine-tuning of large language models, but even small amounts of unsafe or adversarial fine-tuning data can…
cs.LG2025
Cluster Purge Loss: Structuring Transformer Embeddings for Equivalent Mutants Detection
Adelaide Danilov, Aria Nourbakhsh, Christoph Schommer
Recent pre-trained transformer models achieve superior performance in various code processing objectives. However, although effective at optimizing decision boundaries, common appr…