Analyzing and mitigating cultural hallucinations of commercial language models in turkish
Y Boztemir, N Çalışkan - Authorea Preprints, 2024 - techrxiv.org
In an era where artificial intelligence is increasingly interfacing with diverse cultural contexts,
the ability of language models to accurately represent and adapt to these contexts is of …
the ability of language models to accurately represent and adapt to these contexts is of …
Bigbench: A unified benchmark for social bias in text-to-image generative models based on multi-modal llm
Text-to-Image (T2I) generative models are becoming increasingly crucial due to their ability
to generate high-quality images, which also raises concerns about the social biases in their …
to generate high-quality images, which also raises concerns about the social biases in their …
VersusDebias: Universal Zero-Shot Debiasing for Text-to-Image Models via SLM-Based Prompt Engineering and Generative Adversary
With the rapid development of Text-to-Image (T2I) models, biases in human image
generation against demographic social groups become a significant concern, impacting …
generation against demographic social groups become a significant concern, impacting …
Improving Geo-Diversity of Generated Images with Contextualized Vendi Score Guidance
With the growing popularity of text-to-image generative models, there has been increasing
focus on understanding their risks and biases. Recent work has found that state-of-the-art …
focus on understanding their risks and biases. Recent work has found that state-of-the-art …
GEIC: Universal and Multilingual Named Entity Recognition with Large Language Models
Large Language Models (LLMs) have supplanted traditional methods in numerous natural
language processing tasks. Nonetheless, in Named Entity Recognition (NER), existing LLM …
language processing tasks. Nonetheless, in Named Entity Recognition (NER), existing LLM …
RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models
Text-to-image prompt refinement (T2I-Refine) aims to rephrase or extend an input prompt
with more descriptive details that can be leveraged to generate images with higher quality …
with more descriptive details that can be leveraged to generate images with higher quality …
FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models
The rapid development and reduced barriers to entry for Text-to-Image (T2I) models have
raised concerns about the biases in their outputs, but existing research lacks a holistic …
raised concerns about the biases in their outputs, but existing research lacks a holistic …
Thorns and Algorithms: Navigating Generative AI Challenges Inspired by Giraffes and Acacias
W Hussain - arxiv preprint arxiv:2407.11360, 2024 - arxiv.org
The interplay between humans and Generative AI (Gen AI) draws an insightful parallel with
the dynamic relationship between giraffes and acacias on the African Savannah. Just as …
the dynamic relationship between giraffes and acacias on the African Savannah. Just as …
Severity Controlled Text-to-Image Generative Model Bias Manipulation
Text-to-image (T2I) generative models are gaining wide popularity, especially in public
domains. However, their intrinsic bias and potential malicious manipulations remain under …
domains. However, their intrinsic bias and potential malicious manipulations remain under …
An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts
The tidal wave of advancements in Large Language Models (LLMs) has led to their swift
integration into application-level logic. Many software systems now use prompts to interact …
integration into application-level logic. Many software systems now use prompts to interact …