3 papers
cs.CL2026
A Systematic Comparison of Multilingual Interpretability Methods Reveals Anisotropy-Driven Failures
Oskar Holmström, Marcel Bollmann, Marco Kuhlmann
Multilingual language models develop shared cross-lingual representations, and various interpretability methods claim to quantify this sharing. These methods have been developed la…
cs.CL2024
Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark
Niklas Wretblad, Fredrik Gordh Riseby, Rahul Biswas +2
Text-to-SQL, which involves translating natural language into Structured Query Language (SQL), is crucial for enabling broad access to structured databases without expert knowledge…
cs.CL2024
The Impact of Language Adapters in Cross-Lingual Transfer for NLU
Jenny Kunz, Oskar Holmström
Modular deep learning has been proposed for the efficient adaption of pre-trained models to new tasks, domains and languages. In particular, combining language adapters with task a…