3 papers
cs.CL2026
Do Language Models Encode Knowledge of Linguistic Constraint Violations?
Hardy, Sebastian Padó
Large Language Models (LLMs) achieve strong linguistic performance, yet their internal mechanisms for producing these predictions remain unclear. We investigate the hypothesis that…
cs.CL2024
Approximate Attributions for Off-the-Shelf Siamese Transformers
Lucas Möller, Dmitry Nikolaev, Sebastian Padó
Siamese encoders such as sentence transformers are among the least understood deep models. Established attribution methods cannot tackle this model class since it compares two inpu…
cs.CL2024
Actor Identification in Discourse: A Challenge for LLMs?
Ana Barić, Sean Papay, Sebastian Padó
The identification of political actors who put forward claims in public debate is a crucial step in the construction of discourse networks, which are helpful to analyze societal de…