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Found 7 papers, 2 papers with code
Safer Prompts: Reducing IP Risk in Visual Generative AI
Visual Generative AI models have demonstrated remarkable capability in generating high-quality images from simple inputs like text prompts.
"It Listens Better Than My Therapist": Exploring Social Media Discourse on LLMs as Mental Health Tool
The emergence of generative AI chatbots such as ChatGPT has prompted growing public and academic interest in their role as informal mental health support tools.
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study
In recent research, large language models (LLMs) have been increasingly used to investigate public opinions.
United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections
In this study, we examine to what extent LLM-based predictions of individual public opinion exhibit context-dependent biases by predicting the results of the 2024 European Parliament elections.
Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion
The recent development of large language models (LLMs) has spurred discussions about whether LLM-generated "synthetic samples" could complement or replace traditional surveys, considering their training data potentially reflects attitudes and behaviors prevalent in the population.
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models
This paper aims to bridge this gap by providing a comprehensive overview of recent works on the evaluation of AOVs in LLMs.
Seeing ChatGPT Through Students' Eyes: An Analysis of TikTok Data
To address this gap, we analyzed the content on ChatGPT available on TikTok in February 2023.
