Psychiatry

Schizophrenia

Latest AI and machine learning research in schizophrenia for healthcare professionals.

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Mitigating Object Hallucination in Large Vision-Language Models via False Discovery Controlled Visual Data Splitting

Multiple object hallucination, where large vision-language models (LVLMs) generate objects not suppo...

MEND: Label-Free Detection, Localisation, and Correction of Latent Hallucination in World Models

World Models are appearing as the next major frontier in computer vision. However, their robustness ...

DARE to Mitigate Hallucination: Dual-path Auto-Regressive-aware Editing

Large vision-language models (LVLMs) have recently achieved remarkable progress across multimodal ta...

A founder population reveals genetic variation with major effect on serious mental illness

Genetic studies of serious mental illness (SMI, including schizophrenia and bipolar disorder) have i...

Errors, Hallucinations, and Clinical Impact of General-Purpose Multimodal Large Language Models in Histopathology

Background: General-purpose large language models (LLMs) are increasingly evaluated in diagnostic pa...

Where Hallucinations Live: A Cross-Architecture Circuit in VQ-Tokenized Vision-Language Models

Unified vision-language models (VLMs) that tokenize images through a vector-quantized (VQ) codebook ...

Large language model linguistic perplexity in childhood onset psychosis: unique features and developmental trends

Objective: Child and early adolescent onset psychosis (COP) is associated with subtle changes in lan...

Extracting Symptoms of Psychotic Disorders from Clinical Notes using Natural Language Processing.

Large Language Models (LLMs) are proposed as tools for high-throughput, deep phenotyping of psychiat...

SAVOR: Self-Aware Visual Grounding via Confidence-Calibrated Reinforcement Learning for Multimodal Hallucination Mitigation

Multimodal large language models (MLLMs) have made strong progress on visual question answering and ...

Semantic-Spatial Agreement Verification for Mitigating Object Hallucination in Multimodal Large Language Models

Multimodal large language models generate natural-language responses from visual inputs, yet may men...

OmniHallu: Unified Hallucination Detection for Cross-Modal Comprehension and Generation in Multimodal Large Language Models

While Multimodal Large Language Models (MLLMs) have achieved remarkable progress across diverse task...

Domain-Specific Hallucination Detection in Large Language Models

Large language models generate fluent text that can contain unfaithful claims -- a phenomenon known ...

Multidimensional Assurance of an Electronic Health Record Embedded Generative Artificial Intelligence Summarization Tool

Objective: To evaluate Epic IP Insights, an electronic health record integrated generative AI summar...

Beyond Language Priors: Diagnosing and Fixing Visual-Origin Hallucinations in Multimodal LLM

Existing research on object hallucination in multimodal large language models (MLLMs) predominantly ...

VisER: Visual Evidence and Reliance for Object Hallucination Detection in LVLMs

Object hallucination remains a persistent reliability issue in large vision-language models, where g...

Fine-Grained Multi Image Object Hallucination Benchmark

Multimodal Large Language Models (MLLMs) are increasingly deployed in multi-image scenarios requirin...

SingProbe Technical Report

Runtime guardrails are essential for reliable large language model (LLM) deployment, yet existing ap...

Hallucination Mitigation for Large Vision-Language Models via Implicit Feature Stabilization

Large Vision-Language Models (LVLMs) are prone to hallucinations: they fluently describe objects, at...

Targeting the Attention Heads Behind Object Hallucination in LLaVA

Vision-language models such as LLaVA-1.5-7B often hallucinate objects absent from the image when gen...

WADE: A Reasoning-Annotated Benchmark for Multi-Instance Floating-Waste Grounding with Compact Vision-Language Models

Floating waste in inland waterways threatens aquatic ecosystems and requires timely monitoring under...

Counterfactual Anatomy-guided Spatial-Temporal Decoding for Annotation-Free Hallucination Mitigation in Medical VLMs

Medical vision-language models (Med-VLMs) have demonstrated strong performance on medical visual que...

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