Large language models (LLMs) have not only revolutionized the field of natural language
processing (NLP) but also have the potential to bring a paradigm shift in many other fields …

Large Language Models (LLMs) have shown impressive performance in natural language
tasks, but their outputs can exhibit undesirable attributes or biases. Existing methods for …

While intelligent virtual assistants like Siri, Alexa, and Google Assistant have become
ubiquitous in modern life, they still face limitations in their ability to follow multi-step …

As personalized recommendation systems become vital in the age of information overload,
traditional methods relying solely on historical user interactions often fail to fully capture the …

Large Language Model (LLM) has transformative potential in various domains, including
recommender systems (RS). There have been a handful of research that focuses on …

Although Large Language Models (LLMs) have demonstrated potential in processing
graphs, they struggle with comprehending graphical structure information through prompts …

The rapid advancement of Text-to-Image (T2I) generative models has enabled the synthesis
of high-quality images guided by textual descriptions. Despite this significant progress, these …

Generative artificial intelligence (AI) systems based on large-scale pretrained foundation
models (PFMs) such as vision-language models, large language models (LLMs), diffusion …

Large language models (LLMs), such as GPT series models, have received substantial
attention due to their impressive capabilities for generating and understanding human-level …

Large language models (LLMs) have demonstrated prominent reasoning capabilities in
recommendation tasks by transforming them into text-generation tasks. However, existing …