9 citations · 10 across the 4 of their papers we have counts for
4 papers · 1 filter
Dissecting Clinical Reasoning in Language Models: A Comparative Study of Prompts and Model Adaptation Strategies
Mael Jullien, Marco Valentino, Leonardo Ranaldi +1
Recent works on large language models (LLMs) have demonstrated the impact of prompting strategies and fine-tuning techniques on their reasoning capabilities. Yet, their effectivene…
Controlled LLM-based Reasoning for Clinical Trial Retrieval
Mael Jullien, Alex Bogatu, Harriet Unsworth +1
Matching patients to clinical trials demands a systematic and reasoned interpretation of documents which require significant expert-level background knowledge, over a complex set o…
SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials
Mael Jullien, Marco Valentino, André Freitas
Large Language Models (LLMs) are at the forefront of NLP achievements but fall short in dealing with shortcut learning, factual inconsistency, and vulnerability to adversarial inpu…
Do Transformers Encode a Foundational Ontology? Probing Abstract Classes in Natural Language
Mael Jullien, Marco Valentino, Andre Freitas
With the methodological support of probing (or diagnostic classification), recent studies have demonstrated that Transformers encode syntactic and semantic information to some exte…