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R. Pietrantuono

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Jul 2026

Schema-Constrained Document-Level Event Argument Extraction with Lightweight LLM Fine-Tuning

This approach combines (i) role-set injection in prompts for schema compliance, (ii) parameter-efficient supervised fine-tuning (LoRA) using the same JSON-only interface used at inference, and (iii) deterministic decoding with post-processing that validates JSON, filters invalid roles, de-duplicates arguments, and alig...

R. Pietrantuono, Antonio Guerriero, Pouya Sattari · 0 citations
Preprint Aug 2026

Traceable LLM-Generated Hazard Scenarios for Operational Safety Analysis of Aviation Systems Using ASRS Reports

This work presents an AI-assisted approach that generates candidate hazard scenarios from NASA's Aviation Safety Reporting System (ASRS), and proposes a hybrid variant, conditioning narrative generation on a structured hypothesis produced via evolutionary abduction, improving correctness and reducing variability.

Cristian Mascia, R. Pietrantuono, Daniel Rodríguez et al. · 0 citations

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