Papers by Luca Gioffré

2 papers
Right Answer, Wrong Score: Uncovering the Inconsistencies of LLM Evaluation in Multiple-Choice Question Answering (2025.findings-acl)

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Challenge: Multiple-choice question answering tasks are one of the most commonly used tasks for evaluating Large Language Models (LLMs).
Approach: They analyze whether existing answer extraction methods are aligned with human judgment and how they are influenced by answer constraints in the prompt across different domains.
Outcome: The proposed evaluation strategies can be inconsistent with human judgment, and can lead to inaccurate and misleading comparisons.
LiteraryQA: Towards Effective Evaluation of Long-document Narrative QA (2025.emnlp-main)

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Challenge: Existing Question Answering systems are limited by noisy documents and flawed QA pairs.
Approach: They propose a high-quality subset of NarrativeQA focused on literary works . they identify and correct low-quality QA samples while removing extraneous text .
Outcome: The proposed subset of NarrativeQA is based on literary works.

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