The emergence of ChatGPT has generated much speculation in the press about its potential
to disrupt social and economic systems. Its astonishing language ability has aroused strong …

The utilization of large language models (LLMs) in the Healthcare domain has generated
both excitement and concern due to their ability to effectively respond to freetext queries with …

Datasets are foundational to many breakthroughs in modern artificial intelligence. Many
recent achievements in the space of natural language processing (NLP) can be attributed to …

We investigate a surprising limitation of LLMs: their inability to consistently generate text in a
user's desired language. We create the Language Confusion Benchmark (LCB) to evaluate …

In-context learning (ICL) empowers large language models (LLMs) to perform diverse tasks
in underrepresented languages using only short in-context information, offering a crucial …

In US K-12 education, the Spanish language is subject to practices and policies that limit its
expression, especially among racialized Latinx students. However, higher education claims …

In the healthcare domain, summarizing medical questions posed by patients is critical for
improving doctor-patient interactions and medical decision-making. Although medical data …

We present a large-scale study of linguistic bias exhibited by ChatGPT covering ten dialects
of English (Standard American English, Standard British English, and eight widely spoken …

Code-mixing, the blending of linguistic elements from distinct languages to form meaningful
sentences, is common in multilingual settings, yielding hybrid languages like Hinglish and …

This work addresses the task of identifying English code-switching in multilingual text. We
train two token-level classifiers on data of high-resource language pairs. The first …