Papers by Gabriele Maraia

2 papers
Sounding vs. Being an Expert: Disentangling Authority, Register and Cultural Impact in Sycophantic LLMs (2026.findings-acl)

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Challenge: Large Language Models exhibit sycophancy, a tendency to align with user assertions even when they conflict with factual correctness.
Approach: They propose an adversarial evaluation framework that isolates two drivers of credibility: explicit authority (credentials) and implicit authority (linguistic register).
Outcome: The proposed framework disentangles two drivers of credibility: explicit authority (credentials) and implicit authority (linguistic register).
Can Activation Steering Generalize Across Languages? A Study on Syllogistic Reasoning in Language Models (2026.eacl-long)

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Challenge: Prior work has focused on activation steering for Large Language Models (LLMs) this technique can be used to improve reasoning accuracy and transferability across languages.
Approach: They propose to use activation steering to steer models towards a cross-lingual reasoning space.
Outcome: The proposed techniques generalise well to multilingual datasets while minimizing language modelling performance.

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