This article provides a comprehensive survey of contemporary language modeling
approaches within the realm of natural language processing (NLP) tasks. This paper …

We present a survey of more than 90 recent papers that aim to study cultural representation
and inclusion in large language models (LLMs). We observe that none of the studies …

Utilizing state-of-the-art Large Language Models (LLMs), automatic code generation models
play a pivotal role in enhancing the productivity and efficiency of software development …

Warning: This paper contains examples of stereotypes and biases. The Bias Benchmark for
Question Answering (BBQ) is designed to evaluate social biases of language models (LMs) …

Recently, Large language models (LLMs) with powerful general capabilities have been
increasingly integrated into various Web applications, while undergoing alignment training …

One barrier to deeper adoption of user-research methods is the amount of labor required to
create high-quality representations of collected data. Trained user researchers need to …

Large language models have made great advances in the past years, creating compelling
responses to extended verbal inputs. After the release of ChatGPT 3.5, researchers have …

Large-scale deployment of large language models (LLMs) in various applications, such as
chatbots and virtual assistants, requires LLMs to be culturally sensitive to the user to ensure …

Recent advancements in large language models (LLMs) have raised concerns about
inference costs, increasing the need for research into model compression. While knowledge …

The emergence of large language models (LLMs) has revolutionized natural language
processing tasks. However, existing instruction-tuning datasets suffer from occupational …