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Open access Aug 2026

Small Minds?

When someone famous, such as actress Hayden Panettiere, dies, many seem to immediately focus on what caused their death. We seem to feel that it is our right to know the reason for everyone's death. When the person had a history of addiction, most will default to the belief that the person died from drug or alcohol use...

R. Kent · 0 citations
#artificial intelligence Preprint Sep 2026

NeuroActiSep: Detecting Factual Hallucinations from Feed-Forward Neurons in a Single Pass

This work proposes a method to rank feed-forward neurons at the final prompt token using a custom neuron selection dataset, and transfers the selected neuron identities to train hallucination classifiers on other factual question answering datasets.

Ali Derogar Odolou, Reza Nazari, Mostafa Salehi · 0 citations
#artificial intelligence Preprint Sep 2026

Hallucination Neurons and Where to Find Them: An Investigation into the existence of Hallucination Neurons

This work proposes a five-step diagnostic protocol covering feature correlation, bootstrap stability, sparse versus dense ranking disagreement, intervention baselines, and cross-dataset evaluation as a minimum standard for sparse-neuron localization claims, and investigates prior work using the proposed approach.

Huseyin Cavus, Sebin Sabu, J. Spear et al. · 0 citations
Open access Aug 2026

Impaired olfaction and Parkinsonism: A “hidden gem” in the neurological literature

Clinical observations have supplemented findings by Braak and colleagues demonstrating that, like impaired sense of smell, olfactory bulb involvement by Lewy pathology is a common early feature in Parkinson disease.

Grace V. Chen, Peter A. LeWitt · 0 citations
#generative ai Review Open access Sep 2026

Systematically Reducing Hallucination in Generative AI from Users to Data to Models

This paper clarifies the above three aspects and how they work together to form a closed-loop hallucination cycle, starting with user feedback as a departure point, moving to the next step of turning error-correction signals into training instances at the data tier, and lastly to internalising the ability of veracity d...

Jun-Hua Chen · 0 citations

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