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Psychiatry Subcategories: Addictions Anxiety & Stress Bipolar Disorder Depression DSM-5 Eating Disorders Schizophrenia

Showing 778-798 of 2,684 articles

Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation

Large vision-language models (LVLMs) have achieved remarkable performance on multimodal tasks such...

May 2025 http://arxiv.org/abs/2505.16146v1

Learning Interpretable Representations Leads to Semantically Faithful EEG-to-Text Generation

Pretrained generative models have opened new frontiers in brain decoding by enabling the synthesis...

May 2025 http://arxiv.org/abs/2505.17099v1

Multimodal Biomarkers for Schizophrenia: Towards Individual Symptom Severity Estimation

Studies on schizophrenia assessments using deep learning typically treat it as a classification ta...

May 2025 http://arxiv.org/abs/2505.16044v1

OViP: Online Vision-Language Preference Learning

Large vision-language models (LVLMs) remain vulnerable to hallucination, often generating content ...

May 2025 http://arxiv.org/abs/2505.15963v1

Unified Cross-Modal Attention-Mixer Based Structural-Functional Connectomics Fusion for Neuropsychiatric Disorder Diagnosis

Gaining insights into the structural and functional mechanisms of the brain has been a longstandin...

May 2025 http://arxiv.org/abs/2505.15139v1

Physics-Guided Multi-View Graph Neural Network for Schizophrenia Classification via Structural-Functional Coupling

Clinical studies reveal disruptions in brain structural connectivity (SC) and functional connectiv...

May 2025 http://arxiv.org/abs/2505.15135v1

Toward Reliable Biomedical Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models

Large language models (LLMs) have shown significant potential in scientific disciplines such as bi...

May 2025 http://arxiv.org/abs/2505.14599v1

DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning

Large Vision-Language Models (VLMs) have shown strong capabilities in multimodal understanding and...

May 2025 http://arxiv.org/abs/2505.14362v1

Aligning Attention Distribution to Information Flow for Hallucination Mitigation in Large Vision-Language Models

Due to the unidirectional masking mechanism, Decoder-Only models propagate information from left t...

May 2025 http://arxiv.org/abs/2505.14257v1

Towards Omnidirectional Reasoning with 360-R1: A Dataset, Benchmark, and GRPO-based Method

Omnidirectional images (ODIs), with their 360{\deg} field of view, provide unparalleled spatial aw...

May 2025 http://arxiv.org/abs/2505.14197v1

Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models

Additive manufacturing enables the fabrication of complex designs while minimizing waste, but face...

May 2025 http://arxiv.org/abs/2505.13828v1

Selective Code Generation for Functional Guarantees

Large language models (LLMs) show human-level performance and their specialized descendants, code ...

May 2025 http://arxiv.org/abs/2505.13553v1

Tianyi: A Traditional Chinese Medicine all-rounder language model and its Real-World Clinical Practice

Natural medicines, particularly Traditional Chinese Medicine (TCM), are gaining global recognition...

May 2025 http://arxiv.org/abs/2505.13156v1

Mitigating Hallucinations via Inter-Layer Consistency Aggregation in Large Vision-Language Models

Despite the impressive capabilities of Large Vision-Language Models (LVLMs), they remain susceptib...

May 2025 http://arxiv.org/abs/2505.12343v1

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models

Large Vision-Language Models (LVLMs) have exhibited impressive capabilities across various visual ...

May 2025 http://arxiv.org/abs/2505.17061v1

Psychiatry

Browse Categories

Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation

Learning Interpretable Representations Leads to Semantically Faithful EEG-to-Text Generation

Multimodal Biomarkers for Schizophrenia: Towards Individual Symptom Severity Estimation

OViP: Online Vision-Language Preference Learning

Unified Cross-Modal Attention-Mixer Based Structural-Functional Connectomics Fusion for Neuropsychiatric Disorder Diagnosis

Physics-Guided Multi-View Graph Neural Network for Schizophrenia Classification via Structural-Functional Coupling

Toward Reliable Biomedical Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models

DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning

Aligning Attention Distribution to Information Flow for Hallucination Mitigation in Large Vision-Language Models

Towards Omnidirectional Reasoning with 360-R1: A Dataset, Benchmark, and GRPO-based Method

Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models

Selective Code Generation for Functional Guarantees

Tianyi: A Traditional Chinese Medicine all-rounder language model and its Real-World Clinical Practice

Mitigating Hallucinations via Inter-Layer Consistency Aggregation in Large Vision-Language Models

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models

DO-RAG: A Domain-Specific QA Framework Using Knowledge Graph-Enhanced Retrieval-Augmented Generation

Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?

Search-TTA: A Multimodal Test-Time Adaptation Framework for Visual Search in the Wild

AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges

COMPASS: Computational mapping of patient-therapist alliance strategies with language modeling.

Prioritizing Image-Related Tokens Enhances Vision-Language Pre-Training

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