1 citations · 1 across the 5 of their papers we have counts for
7 papers
Are Language Models Script-Aware?
David Kletz, Sandra Mitrović, Ljiljana Dolamić +1
Language models frequently generate outputs in unintended languages or scripts, a phenomenon known as off-target generation. While existing research has focused on language selecti…
Script Choice in LLMs: Evidence for Late-Layer Commitment
David Kletz, Sandra Mitrović, Itay Sabato +2
In this paper, we investigate how script knowledge is distributed across the layers of LLMs using two complementary interpretability methods: logistic regression probing and logit-…
Counterfactual Methods for Detecting Unfairness in Anti-Money Laundering Algorithms
Lea Multerer, Michele Inchingolo, David Kletz +3
The application of machine learning-based predictive algorithms to Anti-Money Laundering (AML) has grown rapidly, driven by the vast volume of financial transaction data available…
Automatic Prompt Optimization for Dataset-Level Feature Discovery
Adrian Cosma, Oleg Szehr, David Kletz +2
Feature extraction from unstructured text is a critical step in many downstream classification pipelines, yet current approaches largely rely on hand-crafted prompts or fixed featu…
Are the LLMs Capable of Maintaining at Least the Language Genus?
Sandra Mitrović, David Kletz, Ljiljana Dolamic +1
Large Language Models (LLMs) display notable variation in multilingual behavior, yet the role of genealogical language structure in shaping this variation remains underexplored. In…
The Self-Contained Negation Test Set
David Kletz, Pascal Amsili, Marie Candito
Several methodologies have recently been proposed to evaluate the ability of Pretrained Language Models (PLMs) to interpret negation. In this article, we build on Gubelmann and Han…
Probing structural constraints of negation in Pretrained Language Models
David Kletz, Marie Candito, Pascal Amsili
Contradictory results about the encoding of the semantic impact of negation in pretrained language models (PLMs). have been drawn recently (e.g. Kassner and Sch{ü}tze (2020); Gubel…