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Massimiliano Pronesti

2 accepted papers

2025

Enhancing Study-Level Inference from Clinical Trial Papers via Reinforcement Learning-Based Numeric Reasoning

EMNLP 2025

Systematic reviews in medicine play a critical role in evidence-based decision-making by aggregating findings from multiple studies. A central bottleneck in automating this process is extracting numeric evidence and determining study-level conclusions for specific outcomes and comparisons. Prior wor

Cited by 0SourcePDFScholar
2025

Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies

ACL 2025long

Extracting scientific evidence from biomedical studies for clinical research questions (e.g., Does stem cell transplantation improve quality of life in patients with medically refractory Crohn’s disease compared to placebo?) is a crucial step in synthesising biomedical evidence. In this paper, we fo…

Cited by 0SourcePDFScholar