We introduce Lifelong ICL, a problem setting that challenges long-context language models
(LMs) to learn a sequence of language tasks through in-context learning (ICL). We further …

The incorporation of Large Language Models (LLMs) such as the GPT series into diverse
sectors including healthcare, education, and finance marks a significant evolution in the field …

Abstract The development of Social Media has caused an incredible change in the way
people communicate and share information. It provides a set of platforms, web-based …

The versatility of Large Language Models (LLMs) on natural language understanding tasks
has made them popular for research in social sciences. To properly understand the …

Many practical vision-language applications require models that understand negation, eg,
when using natural language to retrieve images which contain certain objects but not others …

Negation is a fundamental aspect of human communication, yet it remains a challenge for
Language Models (LMs) in Information Retrieval (IR). Despite the heavy reliance of modern …

Existing methods for controlling language models, such as RLHF and Constitutional AI,
involve determining which LLM behaviors are desirable and training them into a language …

Negation, a linguistic construct conveying absence, denial, or contradiction, poses
significant challenges for multilingual multimodal foundation models. These models excel in …

Music-text multimodal systems have enabled new approaches to Music Information
Research (MIR) applications such as audio-to-text and text-to-audio retrieval, text-based …

While most of the world's knowledge exists in a positive and affirmative form, negative
knowledge also plays a significant role by showing what is not true or what not to think, and …