3 papers
cs.CL2026
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…
cs.CL2025
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…
cs.CL2024
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…