Results 131 to 140 of about 57,139 (318)
HalluLens: LLM Hallucination Benchmark [PDF]
arXivLarge language models (LLMs) often generate responses that deviate from user input or training data, a phenomenon known as "hallucination." These hallucinations undermine user trust and hinder the adoption of generative AI systems. Addressing hallucinations is essential for the advancement of LLMs.
arxiv
Философия и космологияThe study explores the potential of phenomenological psychopathology to describe the experience of individuals with cosmos-containing mental disorders. These disorders are examined through the frameworks of psychiatric classifications such as the ICD-10 ...
Sergii Rudenko +2 more
doaj +1 more source
Epileptic Disorders, EarlyView.Abstract Objective (1) To compare use, benefits, and complications of stereo‐EEG (SEEG) and subdural EEG (SD) in presurgical epilepsy candidates. (2) To evaluate the effectiveness of both methods in delineation of the epileptogenic zone (EZ) and guiding tailored resective surgery. Methods We included patients with SEEG or SD evaluations in children and
Ahmed Gaballa +7 more
wiley +1 more source
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models [PDF]
arXivLarge language models (LLMs) exhibit hallucinations in long-form question-answering tasks across various domains and wide applications. Current hallucination detection and mitigation datasets are limited in domains and sizes, which struggle to scale due to prohibitive labor costs and insufficient reliability of existing hallucination annotators.
arxiv
Experimental Investigations of Telepathic Hallucinations [PDF]
, 1902 Nicolas Vaschide
openalex +1 more source
Epileptic Disorders, EarlyView.Abstract Startle‐induced seizure is a rare type of reflex seizure triggered by unexpected sensory stimuli that often occurs in children with early acquired cerebral lesions or brain malformations. We report a unique case of adult‐onset epilepsy with startle‐induced seizures.
Kazutoshi Konomatsu +12 more
wiley +1 more source
Hal-Eval: A Universal and Fine-grained Hallucination Evaluation Framework for Large Vision Language Models [PDF]
arXivLarge Vision Language Models exhibit remarkable capabilities but struggle with hallucinations inconsistencies between images and their descriptions. Previous hallucination evaluation studies on LVLMs have identified hallucinations in terms of objects, attributes, and relations but overlooked complex hallucinations that create an entire narrative around
arxiv
Dysconnectivity in Hallucinations
, 2018 Abnormalities in brain connectivity are associated with hallucinations. Several networks including sensory and resting-state networks have been pointed out as crucial in various hallucination modalities. Here we review the literature on brain connectivity relevant to auditory verbal and visual hallucinations with an emphasis on the most recent studies.
Branislava Ćurčić-Blake +3 more
openaire +3 more sources