4 citations · 5 across the 10 of their papers we have counts for
10 papers
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…
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…
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…
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…
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…
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…
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…
The Factuality of Large Language Models in the Legal Domain
Rajaa El Hamdani, Thomas Bonald, Fragkiskos Malliaros +2
This paper investigates the factuality of large language models (LLMs) as knowledge bases in the legal domain, in a realistic usage scenario: we allow for acceptable variations in…
Do Language Models Enjoy Their Own Stories? Prompting Large Language Models for Automatic Story Evaluation
Cyril Chhun, Fabian M. Suchanek, Chloé Clavel
Storytelling is an integral part of human experience and plays a crucial role in social interactions. Thus, Automatic Story Evaluation (ASE) and Generation (ASG) could benefit soci…
MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification
Chadi Helwe, Tom Calamai, Pierre-Henri Paris +2
We introduce MAFALDA, a benchmark for fallacy classification that merges and unites previous fallacy datasets. It comes with a taxonomy that aligns, refines, and unifies existing c…