4 papers
The LLM Pro Finance Suite: Multilingual Large Language Models for Financial Applications
Gaëtan Caillaut, Raheel Qader, Jingshu Liu +4
The financial industry's growing demand for advanced natural language processing (NLP) capabilities has highlighted the limitations of generalist large language models (LLMs) in ha…
Lingua Custodi's participation at the WMT 2025 Terminology shared task
Jingshu Liu, Raheel Qader, Gaëtan Caillaut +1
While BERT is an effective method for learning monolingual sentence embeddings for semantic similarity and embedding based transfer learning BERT based cross-lingual sentence embed…
Scaling Laws of Decoder-Only Models on the Multilingual Machine Translation Task
Gaëtan Caillaut, Raheel Qader, Mariam Nakhlé +2
Recent studies have showcased remarkable capabilities of decoder-only models in many NLP tasks, including translation. Yet, the machine translation field has been largely dominated…
Learning Pretopological Spaces to Model Complex Propagation Phenomena: A Multiple Instance Learning Approach Based on a Logical Modeling
Gaëtan Caillaut, Guillaume Cleuziou
This paper addresses the problem of learning the concept of "propagation" in the pretopology theoretical formalism. Our proposal is first to define the pseudo-closure operator (mod…