ChatGPT, a chatbot developed by OpenAI, has gained widespread popularity and media
attention since its release in November 2022. However, little hard evidence is available …

While large language models (LLMs) have exhibited impressive instruction-following
capabilities, it is still unclear whether and to what extent they can respond to explicit …

The automatic detection of hate speech online is an active research area in NLP. Most of the
studies to date are based on social media datasets that contribute to the creation of hate …

We present Backpacks: a new neural architecture that marries strong modeling performance
with an interface for interpretability and control. Backpacks learn multiple non-contextual …

As Large Language Models (LLMs) are deployed more widely, customization with respect to
vocabulary, style, and character becomes more important. In this work, we introduce model …

Recent progress in language model pre-training has led to important improvements in
Named Entity Recognition (NER). Nonetheless, this progress has been mainly tested in well …

Social media plays a pivotal role in the daily activities of individuals, serving as a medium for
the dissemination of events, activities, and information through various forms of posts …

Despite its relevance, the maturity of NLP for social media pales in comparison with general-
purpose models, metrics and benchmarks. This fragmented landscape makes it hard for the …

This paper introduces a large collection of time series data derived from Twitter,
postprocessed using word embedding techniques, as well as specialized fine-tuned …

Text classification (TC) is a subtask of natural language processing (NLP) that categorizes
text pieces into predefined classes based on their textual content and thematic aspects. This …