Mengqi Zhang

Dynamic Graph Neural Networks for Sequential Recommendation

2021 · arXiv (Cornell University)

Modeling user preference from his historical sequences is one of the core problems of sequential recommendation. Existing methods in this field are widely distributed from conventional methods to deep learning methods. However, most of them …

Generative Retrieval as Multi-Vector Dense Retrieval

2024 · arXiv (Cornell University)

Generative retrieval generates identifiers of relevant documents in an end-to-end manner using a sequence-to-sequence architecture for a given query. The relation between generative retrieval and other retrieval methods, especially those based on matching within dense …

Uncovering Overfitting in Large Language Model Editing

2024 · arXiv (Cornell University)

Knowledge editing has been proposed as an effective method for updating and correcting the internal knowledge of Large Language Models (LLMs). However, existing editing methods often struggle with complex tasks, such as multi-hop reasoning. In …