Papers by Alberto Cazzaniga

2 papers
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals (2024.acl-long)

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Challenge: Existing interpretability research focused on analyzing a single mechanism . et al., 2023) focused on finding how models copy or recall factual knowledge .
Approach: They propose a competition of mechanisms that focuses on the interplay of multiple mechanisms instead of individual mechanisms . they uncover how and where the competition of mechanism happens within LLMs using logit inspection and attention modification methods.
Outcome: The proposed model is based on two interpretability methods, logit inspection and attention modification.
When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language Models (2026.acl-long)

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Challenge: Vision-language models combine visual and textual information to perform complex tasks. conflicts between internal knowledge and external visual input can lead to hallucinations and unreliable predictions.
Approach: They propose to use a dataset to identify attention heads that deliberately contradict internal commonsense knowledge to resolve cross-modal conflicts.
Outcome: The proposed model can be manipulated to find out which visual inputs are conflicting . the model can then be orientated towards internal parametric knowledge or visual information .

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