Large Language Models (LLMs) have become essential tools for humans to acquire information, make decisions, and engage in social interactions. However, like human cognition, these models also exhibit a series of cognitive biases when processing information. These biases not only affect the accuracy ...
Large language models(LLM) are pre-trained on extensive corpora to learn facts and human cognition which contain human preferences. However, this process can inadvertently lead to these models acquiring biases and stereotypes prevalent in society. Prior research has typically tackled the issue of ...
Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Modelsfrom: 宾夕法尼亚大学, time on arxiv: 24.08 针对VidQA任务中的modality bias,作者认为是数据集本身就…
co-authors Weicheng Ma, a computer science Ph.D. candidate at the Guarini School of Graduate and Advanced Studies, and Soroush Vosoughi, assistant professor of computer science, look at how stereotypes are encoded in pretrained large language models. ...
the internet and who does not. Furthermore, women and people in underrepresented groups are more likely to be harassed and bullied online, leading them to spend less time on the internet, Gebru said. In turn, these perspectives are less represented in the data that large language models ...
Large Language Models (LLMs) have made substantial progress in the past several months, shattering state-of-the-art benchmarks in many domains. This paper investigates LLMs' behavior with respect to gender stereotypes, a known stumbling block for prior models. We propose a simple paradigm to ...
Large Language Models (LLMs) have revolutionized our interaction with software. However, there’s a catch – their responses can be monotonous and impersonal. This is where ‘personas’ come in. They add a human touch to LLMs, transforming generic outputs into...
Large language models (LLMs) have been recently leveraged as training data generators for various natural language processing (NLP) tasks. While previous research has explored different approaches to training models using generated data, they generally rely on simple class-conditional prompts, which may...
Large language models (LLMs) have the potential to transform our lives and work through the content they generate, known as AI-Generated Content (AIGC). To harness this transformation, we need to understand the limitations of LLMs. Here, we investigate the bias of AIGC produced by seven re...
Large language models (LLMs) that drive generative artificial intelligence apps, such as ChatGPT, have been proliferating at lightning speed and have improved to the point that it is often impossible to distinguish between ...