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P. Minervini

4 papers hereh-index 13 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CL1
  • cs.CV1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CV2026

Do Composed Image Retrieval Benchmarks Require Multimodal Composition?

Matteo Attimonelli, Alessandro De Bellis, Aryo Pradipta Gema +8

Composed Image Retrieval (CIR) is a multimodal retrieval task where a query consists of a reference image and a textual modification, and the goal is to retrieve a target image sat…

cs.AI2026

Human-LLM Dialogue Improves Diagnostic Accuracy in Emergency Care

Burcu Sayin, Ngoc Vo Hong, Ipek Baris Schlicht +8

Clinical decision-making in emergency medicine demands rapid, accurate diagnoses under uncertainty. Despite benchmark progress, evidence for LLMs as interactive aids in live physic…

cs.AI2026

Process-Supervised Multi-Agent Reinforcement Learning for Reliable Clinical Reasoning

Chaeeun Lee, T. Michael Yates, Pasquale Minervini +1

Clinical decision-making requires nuanced reasoning over heterogeneous evidence and traceable justifications. While recent LLM multi-agent systems (MAS) show promise, they largely…

cs.CL2025

From KMMLU-Redux to KMMLU-Pro: A Professional Korean Benchmark Suite for LLM Evaluation

Seokhee Hong, Sunkyoung Kim, Guijin Son +3

The development of Large Language Models (LLMs) requires robust benchmarks that encompass not only academic domains but also industrial fields to effectively evaluate their applica…

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