Recent breakthroughs in large language models (LLMs) have centered around a handful of
data-rich languages. What does it take to broaden access to breakthroughs beyond first …

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 …

Multilingual Large Language Models are capable of using powerful Large Language
Models to handle and respond to queries in multiple languages, which achieves remarkable …

Visual Question Answering (VQA) is an important task in multimodal AI, and it is often used
to test the ability of vision-language models to understand and reason on knowledge …

Background: Stemming is significantly essential in natural language processing (NLP) due
to the ability to minimize word variations to fundamental forms. This procedure facilitates the …

Preference tuning is a crucial process for aligning deep generative models with human
preferences. This survey offers a thorough overview of recent advancements in preference …

Multilingual large language models (MLLMs) leverage advanced large language models to
process and respond to queries across multiple languages, achieving significant success in …

Cultural biases in multilingual datasets pose significant challenges for their effectiveness as
global benchmarks. These biases stem not only from language but also from the cultural …

The performance differential of large language models (LLM) between languages hinders
their effective deployment in many regions, inhibiting the potential economic and societal …

News articles are usually written by journalists based on statements taken from interviews
with public figures. Attribution from such statements provides important information and it …