Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …

Transformer language models have received widespread public attention, yet their
generated text is often surprising even to NLP researchers. In this survey, we discuss over …

We investigate the political bias of a large language model (LLM), ChatGPT, which has
become popular for retrieving factual information and generating content. Although ChatGPT …

This contribution analyzes the self‐perception and political biases of OpenAI's Large
Language Model ChatGPT. Considering the first small‐scale reports and studies that have …

Abstract We present Second Thoughts, a new learning paradigm that enables language
models (LMs) to re-align with human values. By modeling the chain-of-edits between value …

Social alignment in AI systems aims to ensure that these models behave according to
established societal values. However, unlike humans, who derive consensus on value …

Warning: This paper contains abusive samples that may cause discomfort to readers.
Abusive language on social media reinforces prejudice against an individual or a specific …

Depression is increasingly prevalent, leading to higher suicide risk. Depression detection
and sentimental analysis of text inputs in cross-domain frameworks are challenging. Solo …

Human perception of language depends on personal backgrounds like gender and
ethnicity. While existing studies have shown that large language models (LLMs) hold values …

Pre-trained language models (LMs) have been shown to memorize a substantial amount of
knowledge from the pre-training corpora; however, they are still limited in recalling factually …