Papers by Pascal Wullschleger

2 papers
Reference-Free Evaluation of Taxonomies (2026.findings-acl)

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Challenge: Taxonomies are used to classify items, ideas or organisms based on shared characteristics.
Approach: They introduce two reference-free metrics for quality evaluation of taxonomies in the absence of labels.
Outcome: The proposed metrics correlate well with F1 against ground truth taxonomies on five taxonomies and improve hierarchical classification when used with label hierarchies.
FoodTaxo: Generating Food Taxonomies with Large Language Models (2025.acl-industry)

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Challenge: a recent study shows that LLMs are useful for automating taxonomies from a seed taxonomy to a set of known concepts.
Approach: They propose to use Large Language Models for automated taxonomy generation and completion.
Outcome: The proposed approach is based on an open-source LLM (Llama-3).

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