Emotion detection has become an intriguing issue for researchers owing to its
psychological, social, and commercial significance. People express their feelings directly or …

Natural Language Processing (NLP) research is increasingly focusing on the use of Large
Language Models (LLMs), with some of the most popular ones being either fully or partially …

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 …

This paper presents the results of the WASSA 2024 shared task on predicting empathy,
emotion, and personality in conversations and reactions to news articles. Participating teams …

Pretrained large language models have revolutionized many applications but still face
challenges related to cultural bias and a lack of cultural commonsense knowledge crucial for …

Background Large language models (LLMs) hold potential for mental health applications.
However, their opaque alignment processes may embed biases that shape problematic …

Developing cultural adaptation methods is important, which can improve the model
performance on the low-resource ones and provide more equitable opportunities for …

This paper examines ChatGPT's use of evaluative language and engagement strategies
while addressing information-seeking queries. It assesses the chatbot's role as a virtual …

Social science NLP tasks, such as emotion or humor detection, are required to capture the
semantics along with the implicit pragmatics from text, often with limited amounts of training …

Finding errors in machine learning applications requires a thorough exploration of their
behavior over data. Existing approaches used by practitioners are often ad-hoc and lack the …