collaborators

7 papers

cs.AI2026

KARLA: Knowledge-base Augmented Retrieval for Language Models

Francois Crespin, Fabian M. Suchanek, Nils Holzenberger

We propose a new method that allows an LLM to automatically pull in factual knowledge from a knowledge base during token generation. This means that (1)~factual knowledge in the LL…

cs.AI2026

LELA: An End-to-end LLM-based Entity Linking Framework with Zero-shot Domain Adaptation

Samy Haffoudhi, Nikola Dobričić, Fabian Suchanek +1

Entity linking is a key component of many downstream NLP systems, yet existing approaches are often tied to the specific target knowledge bases and domains, limiting their real wor…

cs.AI2026

Qiana: A First-Order Formalism to Quantify over Contexts and Formulas with Temporality

Simon Coumes, Pierre-Henri Paris, François Schwarzentruber +1

We introduce Qiana, a logic framework for reasoning on formulas that are true only in specific contexts. In Qiana, it is possible to quantify over both formulas and contexts to exp…

cs.CL2026

Detecting Greenwashing: A Natural Language Processing Literature Survey

Tom Calamai, Oana Balalau, Théo Le Guenedal +1

Greenwashing refers to practices by corporations or governments that intentionally mislead the public about their environmental impact. This paper provides a comprehensive and meth…

cs.CL2026

LELA: an LLM-based Entity Linking Approach with Zero-Shot Domain Adaptation

Samy Haffoudhi, Fabian M. Suchanek, Nils Holzenberger

Entity linking (mapping ambiguous mentions in text to entities in a knowledge base) is a foundational step in tasks such as knowledge graph construction, question-answering, and in…

cs.AI2025

FLORA: Unsupervised Knowledge Graph Alignment by Fuzzy Logic

Yiwen Peng, Thomas Bonald, Fabian M. Suchanek

Knowledge graph alignment is the task of matching equivalent entities (that is, instances and classes) and relations across two knowledge graphs. Most existing methods focus on pur…