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Surveys

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

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Collective Reasoning Among LLMs A Framework for Answer Validation Without Ground Truth

We present a collaborative framework where multiple large language models, namely GPT-4-0125-previ...

Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation

Autoregressive (AR) modeling, known for its next-token prediction paradigm, underpins state-of-the...

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Learning to Generalize without Bias for Open-Vocabulary Action Recognition

Leveraging the effective visual-text alignment and static generalizability from CLIP, recent video...

The erasure of intensive livestock farming in text-to-image generative AI

Generative AI (e.g., ChatGPT) is increasingly integrated into people's daily lives. While it is kn...

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Revealing Treatment Non-Adherence Bias in Clinical Machine Learning Using Large Language Models

Machine learning systems trained on electronic health records (EHRs) increasingly guide treatment ...

FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance

Text-to-image diffusion models often exhibit biases toward specific demographic groups, such as ge...

Defining bias in AI-systems: Biased models are fair models

The debate around bias in AI systems is central to discussions on algorithmic fairness. However, t...

Assessing Large Language Models in Agentic Multilingual National Bias

Large Language Models have garnered significant attention for their capabilities in multilingual n...

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Tip of the Tongue Query Elicitation for Simulated Evaluation

Tip-of-the-tongue (TOT) search occurs when a user struggles to recall a specific identifier, such ...

HybridLinker: Topology-Guided Posterior Sampling for Enhanced Diversity and Validity in 3D Molecular Linker Generation

Linker generation is critical in drug discovery applications such as lead optimization and PROTAC ...

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A survey of datasets for computer vision in agriculture

In agricultural research, there has been a recent surge in the amount of Computer Vision (CV) focu...

Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives

Ensuring equitable Artificial Intelligence (AI) in healthcare demands systems that make unbiased d...

FedBM: Stealing Knowledge from Pre-trained Language Models for Heterogeneous Federated Learning

Federated learning (FL) has shown great potential in medical image computing since it provides a d...

Visual Reasoning Evaluation of Grok, Deepseek Janus, Gemini, Qwen, Mistral, and ChatGPT

Traditional evaluations of multimodal large language models (LLMs) have been limited by their focu...

A Comprehensive Survey on the Trustworthiness of Large Language Models in Healthcare

The application of large language models (LLMs) in healthcare has the potential to revolutionize c...

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Robust Bias Detection in MLMs and its Application to Human Trait Ratings

There has been significant prior work using templates to study bias against demographic attributes...

Fundamental Survey on Neuromorphic Based Audio Classification

Audio classification is paramount in a variety of applications including surveillance, healthcare ...

CardiacMamba: A Multimodal RGB-RF Fusion Framework with State Space Models for Remote Physiological Measurement

Heart rate (HR) estimation via remote photoplethysmography (rPPG) offers a non-invasive solution f...

User Intent to Use DeepSeek for Healthcare Purposes and their Trust in the Large Language Model: Multinational Survey Study

Large language models (LLMs) increasingly serve as interactive healthcare resources, yet user acce...

Towards Equitable AI: Detecting Bias in Using Large Language Models for Marketing

The recent advances in large language models (LLMs) have revolutionized industries such as finance...

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