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5 papers

cs.AI2026

Where Experts Disagree, Models Fail: Detecting Implicit Legal Citations in French Court Decisions

Avrile Floro, Tamara Dhorasoo, Soline Pellez +1

The paper introduces a benchmark for detecting implicit citations of the French Civil Code in court decisions and shows that cases where legal experts disagree are especially hard…

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.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.CL2025

Retrieval-Constrained Decoding Reveals Underestimated Parametric Knowledge in Language Models

Rajaa El Hamdani, Samy Haffoudhi, Nils Holzenberger +3

Language models (LMs) encode substantial factual knowledge, but often produce answers judged as incorrect. We hypothesize that many of these answers are actually correct, but are e…