18 citations · 21 across the 4 of their papers we have counts for
5 papers
Biomedical reasoning in action: Multi-agent System for Auditable Biomedical Evidence Synthesis
Oskar Wysocki, Magdalena Wysocka, Mauricio Jacobo +2
We present M-Reason, a demonstration system for transparent, agent-based reasoning and evidence integration in the biomedical domain, with a focus on cancer research. M-Reason leve…
Integrating Expert Knowledge into Logical Programs via LLMs
Franciszek Górski, Oskar Wysocki, Marco Valentino +1
This paper introduces ExKLoP, a novel framework designed to evaluate how effectively Large Language Models (LLMs) integrate expert knowledge into logical reasoning systems. This ca…
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…
An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery
Oskar Wysocki, Magdalena Wysocka, Danilo Carvalho +5
We present BioLunar, developed using the Lunar framework, as a tool for supporting biological analyses, with a particular emphasis on molecular-level evidence enrichment for biomar…
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…