Latest Articles for Bias

This study analyzes the two-tower model's performance against bias in document ranking.

Investigating the link between role-play and biases in language models.

Researchers introduce the STOP dataset to analyze bias in language models.

This paper discusses fairness in selecting candidates for institutions amid biased evaluations.

This study investigates AI's role in salary negotiation advice and potential biases.

Research shows how algorithms shape user views on social networks.

This paper investigates fairness in blocking methods for entity matching systems.

Examining how different thinking styles affect survey responses and biases.

PeerArg enhances transparency and reliability in the peer review process.

FVNNs provide a fair approach to data analysis and predictions.

PASPO provides a fresh approach to complex allocation challenges across various fields.

This paper evaluates fairness issues in Retrieval-Augmented Generation methods.

This paper discusses methods to reduce bias in observational studies with continuous treatments.

Exploring AI advancements in weather forecasting amid climate change.

This approach helps AI systems learn better without needing human labels.

Examining the importance of fairness in record matching techniques.

Explore the impact of shortcut learning on language models and their real-world applications.

This paper discusses creating safe, fair guidelines for AI development.

Two methods enhance the accuracy of AI-generated text evaluations.

This article discusses fairness issues in Graph Neural Networks and introduces a new method.

This study explores how different cultures interpret hate speech in memes.

A study reveals biases in measuring dark matter during galaxy cluster collisions.

Exploring how genes and environment interact to influence human traits.

A look at similarity networks to improve fairness in machine learning.

Methods to create fair summaries from diverse social media voices.

Examining how Language Models influence communication and ethical challenges.

A look at the ethical challenges in Natural Language Processing technology.

A new method enhances how AI handles pronouns for better representation.

Examining how bias affects language models and their interpretation of offensive language.

A guide to understanding multilevel and fixed effects models in data analysis.

LLMs speed up qualitative research, providing fresh insights from large volumes of text.

A new method improves fairness and accuracy in medical imaging AI systems.

A look at how researchers protect privacy in survey data while sharing insights.

Researchers tackle bias in language models using a new approach.

A closer look at gender bias in large language models and its implications.

A look at bias in AI and how to tackle it fairly.

An overview of how LLMs enhance evaluation processes while addressing key challenges.

A closer look at the benefits and challenges of Propensity Score Matching.

Exploring how AI can assess language quality and the challenges involved.

Examining biases in AI language models and potential solutions.