You will lead the computational work by preparing historical corpora and utilizing parameter-efficient methods to fine-tune open-weight language models. This role involves building an attribution pipeline using token-level SHAP, running controlled model experiments, and documenting benchmark releases for publication.
(KI generierte Zusammenfassung)
Inserat ansehen