The rapid growth of e-commerce has made textual reviews and product ratings crucial for
consumer purchase decisions. However, the overall Likert scale rating of the product does …

Recommender systems (RS) are vital for managing information overload and delivering
personalized content, responding to users' diverse information needs. The emergence of …

Inspired by the recent success of large language models (LLMs) in the general domain,
many large multimodal models, such as vision-language models, have been developed to …

With the introduction of more recent deep learning models such as encoder‐decoder, text
generation frameworks have gained a lot of popularity. In Natural Language Generation …

Retrieval Augmented Generation (RAG) system is important in domains such as e-
commerce, which has many long-tail entities and frequently updated information. Most …

Large language models have shown great capability in dealing with long contexts. However,
when applied to question-and-answer response tasks, excessively long contexts …

Leveraging multimodal data to drive breakthroughs in e-commerce applications through
Multimodal Foundation Models (MFMs) is gaining increasing attention from the research …

Complaint Large Language Model (Complaint-LLM) is designed as a" customer service" tool
to address the scenario of handling a massive volume of public complaints, effectively …