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Pasquale Minervini

9 papers hereh-index 571 citations11 works total

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

author position
  • middle author5
  • last author3

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.CV3
  • cs.LG2
  • cs.AI1
same name
  • Pasquale Minervini — 36 papers, h 12
  • Pasquale Minervini — 28 papers, h 24
  • Pasquale Minervini — 5 papers
  • Pasquale Minervini — 3 papers, h 2
  • Pasquale Minervini — 1 paper
  • Pasquale Minervini — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

Chain-of-Thought Faithfulness of Reasoning Models Varies with Where and How Preference Cues Are Delivered

Aryo Pradipta Gema, Neel Rajani, Rohit Saxena +2

Chain-of-thought (CoT) monitoring assumes that reasoning traces faithfully record the information that shapes a model's answer. Existing faithfulness tests often place explicit bia…

cs.CL2026

SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks

Wai-Chung Kwan, Aryo Pradipta Gema, Joshua Ong Jun Leang +1

Self-play can train language models without external supervision. However, existing methods require rule-checkable answers, leaving open-ended tasks dependent on curated prompts or…

cs.CL2025

Noiser: Bounded Input Perturbations for Attributing Large Language Models

Mohammad Reza Ghasemi Madani, Aryo Pradipta Gema, Gabriele Sarti +3

Feature attribution (FA) methods are common post-hoc approaches that explain how Large Language Models (LLMs) make predictions. Accordingly, generating faithful attributions that r…

cs.CL2024★ 1 cited

Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain

Burcu Sayin, Pasquale Minervini, Jacopo Staiano +1

We explore the potential of Large Language Models (LLMs) to assist and potentially correct physicians in medical decision-making tasks. We evaluate several LLMs, including Meditron…

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