Psychiatry

Schizophrenia

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

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PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model

Large Vision Language Models (LVLMs) have demonstrated remarkable capabilities in understanding an...

Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key

Hallucination remains a major challenge for Large Vision-Language Models (LVLMs). Direct Preferenc...

Exploring the Inquiry-Diagnosis Relationship with Advanced Patient Simulators

Recently, large language models have shown great potential to transform online medical consultatio...

ChartInsighter: An Approach for Mitigating Hallucination in Time-series Chart Summary Generation with A Benchmark Dataset

Effective chart summary can significantly reduce the time and effort decision makers spend interpr...

Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching

Traditional similarity-based schema matching methods are incapable of resolving semantic ambiguiti...

HALoGEN: Fantastic LLM Hallucinations and Where to Find Them

Despite their impressive ability to generate high-quality and fluent text, generative large langua...

MedCT: A Clinical Terminology Graph for Generative AI Applications in Healthcare

We introduce the world's first clinical terminology for the Chinese healthcare community, namely M...

ECBench: Can Multi-modal Foundation Models Understand the Egocentric World? A Holistic Embodied Cognition Benchmark

The enhancement of generalization in robots by large vision-language models (LVLMs) is increasingl...

Seeing with Partial Certainty: Conformal Prediction for Robotic Scene Recognition in Built Environments

In assistive robotics serving people with disabilities (PWD), accurate place recognition in built ...

Feedback-Driven Vision-Language Alignment with Minimal Human Supervision

Vision-language models (VLMs) have demonstrated remarkable potential in integrating visual and lin...

Motif Discovery Framework for Psychiatric EEG Data Classification

In current medical practice, patients undergoing depression treatment must wait four to six weeks ...

RAG-Check: Evaluating Multimodal Retrieval Augmented Generation Performance

Retrieval-augmented generation (RAG) improves large language models (LLMs) by using external knowl...

Socratic Questioning: Learn to Self-guide Multimodal Reasoning in the Wild

Complex visual reasoning remains a key challenge today. Typically, the challenge is tackled using ...

Foundations of GenIR

The chapter discusses the foundational impact of modern generative AI models on information access...

EAGLE: Enhanced Visual Grounding Minimizes Hallucinations in Instructional Multimodal Models

Large language models and vision transformers have demonstrated impressive zero-shot capabilities,...

CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System

As the impact of global climate change intensifies, corporate carbon emissions have become a focal...

Biological Database Mining for LLM-Driven Alzheimer’s Disease Drug Repurposing

This study presents a software pipeline that leverages LLMs to apply knowledge stored in natural lan...

The Fengshu Large Model for Wugu Fengdeng: An Innovation Engine for Knowledge Integration in the Soybean Field

Against the backdrop of global population growth and the continuous escalation of food demand, the a...

Fold-Conditioned De Novo Binder Design via AlphaFold2-Multimer Hallucination

De novo protein binder design has been revolutionized by deep learning methods, yet controlling bind...

The olfactory bulb reflects structural plasticity within a genetically stable olfactory network

The olfactory bulb (OB), the first central relay of the olfactory pathway, plays a critical role in ...

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