6 citations · 8 across the 9 of their papers we have counts for
3 papers · 1 filter
Feature Generation Using LLMs: An Evolutionary Algorithm Approach
Aria Nourbakhsh, Benoît Alcaraz, Christoph Schommer
A crucial step in machine learning pipelines is to present each entity with features or attributes that are representative of the characteristics of the processed entities. Feature…
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…
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…