Surveys

Surveys

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

3,859 articles

Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents

Previous studies have found that PLM-based retrieval models exhibit a preference for LLM-generated...

Mar 2025 http://arxiv.org/abs/2503.08684v1

Exploring Bias in over 100 Text-to-Image Generative Models

We investigate bias trends in text-to-image generative models over time, focusing on the increasin...

Mar 2025 http://arxiv.org/abs/2503.08012v1

Measuring directional bias amplification in image captions using predictability

When we train models on biased ML datasets, they not only learn these biases but can inflate them ...

(1)

Mar 2025 http://arxiv.org/abs/2503.07878v2

VisBias: Measuring Explicit and Implicit Social Biases in Vision Language Models

This research investigates both explicit and implicit social biases exhibited by Vision-Language M...

Mar 2025 http://arxiv.org/abs/2503.07575v2

CLICv2: Image Complexity Representation via Content Invariance Contrastive Learning

Unsupervised image complexity representation often suffers from bias in positive sample selection ...

Mar 2025 http://arxiv.org/abs/2503.06641v1

Fine-Grained Bias Detection in LLM: Enhancing detection mechanisms for nuanced biases

Recent advancements in Artificial Intelligence, particularly in Large Language Models (LLMs), have...

(1)

Mar 2025 http://arxiv.org/abs/2503.06054v1

AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data

Recent advances in generative models have sparked research on improving model fairness with AI-gen...

Mar 2025 http://arxiv.org/abs/2503.05665v1

PoSSUM: A Protocol for Surveying Social-media Users with Multimodal LLMs

This paper introduces PoSSUM, an open-source protocol for unobtrusive polling of social-media user...

(2)

Mar 2025 http://arxiv.org/abs/2503.05529v1

Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation

One-class anomaly detection aims to detect objects that do not belong to a predefined normal class...

Mar 2025 http://arxiv.org/abs/2503.05520v1

Visual Cues of Gender and Race are Associated with Stereotyping in Vision-Language Models

Current research on bias in Vision Language Models (VLMs) has important limitations: it is focused...

Mar 2025 http://arxiv.org/abs/2503.05093v1

SHAPE : Self-Improved Visual Preference Alignment by Iteratively Generating Holistic Winner

Large Visual Language Models (LVLMs) increasingly rely on preference alignment to ensure reliabili...

Mar 2025 http://arxiv.org/abs/2503.04858v1

Simulating the Real World: A Unified Survey of Multimodal Generative Models

Understanding and replicating the real world is a critical challenge in Artificial General Intelli...

Mar 2025 http://arxiv.org/abs/2503.04641v1

Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias

Score-based diffusion models have achieved incredible performance in generating realistic images, ...

(1)

Mar 2025 http://arxiv.org/abs/2503.03595v1

Biased Heritage: How Datasets Shape Models in Facial Expression Recognition

In recent years, the rapid development of artificial intelligence (AI) systems has raised concerns...

(1)

Mar 2025 http://arxiv.org/abs/2503.03446v1

An Analytical Theory of Power Law Spectral Bias in the Learning Dynamics of Diffusion Models

We developed an analytical framework for understanding how the learned distribution evolves during...

(1)

Mar 2025 http://arxiv.org/abs/2503.03206v1

Disentangled Knowledge Tracing for Alleviating Cognitive Bias

In the realm of Intelligent Tutoring System (ITS), the accurate assessment of students' knowledge ...

(4)

Mar 2025 http://arxiv.org/abs/2503.02539v1

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