On the Applicability of Dimensionality Reduction Techniques as Aggregation Methods to Enhance Feature Attribution Faithfulness of LLMs

Citation

Nico Filzmoser
On the Applicability of Dimensionality Reduction Techniques as Aggregation Methods to Enhance Feature Attribution Faithfulness of LLMs
Advisor(s): Markus Schedl
Johannes Kepler University Linz, Master's Thesis, 2025.

BibTeX

@misc{NicoFilzmoser2025master-thesis,
    title = {On the Applicability of Dimensionality Reduction Techniques as Aggregation Methods to Enhance Feature Attribution Faithfulness of LLMs},
    author = {Nico Filzmoser},
    school = {Johannes Kepler University Linz},
    year = {2025}
}