The debut of ChatGPT has recently attracted significant attention from the natural language
processing (NLP) community and beyond. Existing studies have demonstrated that ChatGPT …

In streaming media applications, like music Apps, songs are recommended in a continuous
way in users' daily life. The recommended songs are played automatically although users …

Recently, the emergence of large language models (LLMs) has revolutionized the paradigm
of information retrieval (IR) applications, especially in web search. With their remarkable …

Recently, tool learning with large language models (LLMs) has emerged as a promising
paradigm for augmenting the capabilities of LLMs to tackle highly complex problems. Despite …

With the popularity of online music services, personalized music recommendation has
garnered much research interest. Recommendation models are typically trained on datasets …

With the rapid advancements of large language models (LLMs), information retrieval (IR)
systems, such as search engines and recommender systems, have undergone a significant …

With the rapid advancement of large language models (LLMs), information retrieval (IR)
systems, such as search engines and recommender systems, have undergone a significant …

Recently, the emergence of large language models (LLMs) has revolutionized the paradigm
of information retrieval (IR) applications, especially in web search, by generating vast …

In real-world recommender systems, such as in the music domain, repeat consumption is a
common phenomenon where users frequently listen to a small set of preferred songs or …

Recently, integrating external tools with Large Language Models (LLMs) has gained
significant attention as an effective strategy to mitigate the limitations inherent in their pre-training …