18 citations · 23 across the 7 of their papers we have counts for
5 papers · 1 filter
A Navigational Approach for Comprehensive RAG via Traversal over Proposition Graphs
Maxime Delmas, Lei Xu, André Freitas
Standard RAG pipelines based on chunking excel at simple factual retrieval but fail on complex multi-hop queries due to a lack of structural connectivity. Conversely, initial strat…
Accelerating Antibiotic Discovery with Large Language Models and Knowledge Graphs
Maxime Delmas, Magdalena Wysocka, Danilo Gusicuma +1
The discovery of novel antibiotics is critical to address the growing antimicrobial resistance (AMR). However, pharmaceutical industries face high costs (over $1 billion), long tim…
SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning
Magdalena Wysocka, Danilo Carvalho, Oskar Wysocki +2
Syllogistic reasoning is crucial for Natural Language Inference (NLI). This capability is particularly significant in specialized domains such as biomedicine, where it can support…
Relation Extraction in underexplored biomedical domains: A diversity-optimised sampling and synthetic data generation approach
Maxime Delmas, Magdalena Wysocka, André Freitas
The sparsity of labelled data is an obstacle to the development of Relation Extraction models and the completion of databases in various biomedical areas. While being of high inter…
Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation
Magdalena Wysocka, Oskar Wysocki, Maxime Delmas +2
The paper introduces a framework for the evaluation of the encoding of factual scientific knowledge, designed to streamline the manual evaluation process typically conducted by dom…