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Found 11 papers, 1 papers with code
A Study of Implicit Bias in Pretrained Language Models against People with Disabilities
Pretrained language models (PLMs) have been shown to exhibit sociodemographic biases, such as against gender and race, raising concerns of downstream biases in language technologies.
"Confidently Nonsensical?'': A Critical Survey on the Perspectives and Challenges of 'Hallucinations' in NLP
We investigate how hallucination in large language models (LLM) is characterized in peer-reviewed literature using a critical examination of 103 publications across NLP research.
From Melting Pots to Misrepresentations: Exploring Harms in Generative AI
With the widespread adoption of advanced generative models such as Gemini and GPT, there has been a notable increase in the incorporation of such models into sociotechnical systems, categorized under AI-as-a-Service (AIaaS).
The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis
We conduct an inquiry into the sociotechnical aspects of sentiment analysis (SA) by critically examining 189 peer-reviewed papers on their applications, models, and datasets.
CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model Bias
We apply CALM to 20 large language models, and find that for 2 language model series, larger parameter models tend to be more biased than smaller ones.
Towards a Holistic Approach: Understanding Sociodemographic Biases in NLP Models using an Interdisciplinary Lens
The rapid growth in the usage and applications of Natural Language Processing (NLP) in various sociotechnical solutions has highlighted the need for a comprehensive understanding of bias and its impact on society.
Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles
We investigate the potential for nationality biases in natural language processing (NLP) models using human evaluation methods.
Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models
We analyze sentiment analysis and toxicity detection models to detect the presence of explicit bias against people with disability (PWD).
Sociodemographic Bias in Language Models: A Survey and Forward Path
This paper presents a comprehensive survey of work on sociodemographic bias in language models (LMs).
Nationality Bias in Text Generation
Little attention is placed on analyzing nationality bias in language models, especially when nationality is highly used as a factor in increasing the performance of social NLP models.
Identification of Bias Against People with Disabilities in Sentiment Analysis and Toxicity Detection Models
The results show that all exhibit strong negative biases on sentences that mention disability.
