103 citations · 444 across the 36 of their papers we have counts for
38 papers
Zero-Shot Next-Item Recommendation using Large Pretrained Language Models
Lei Wang, Ee-Peng Lim
Large language models (LLMs) have achieved impressive zero-shot performance in various natural language processing (NLP) tasks, demonstrating their capabilities for inference witho…
Efficient Cross-Modal Video Retrieval with Meta-Optimized Frames
Ning Han, Xun Yang, Ee-Peng Lim +2
Cross-modal video retrieval aims to retrieve the semantically relevant videos given a text as a query, and is one of the fundamental tasks in Multimedia. Most of top-performing met…
Improving Compositional Generalization in Math Word Problem Solving
Yunshi Lan, Lei Wang, Jing Jiang +1
Compositional generalization refers to a model's capability to generalize to newly composed input data based on the data components observed during training. It has triggered a ser…
Explanation Guided Contrastive Learning for Sequential Recommendation
Lei Wang, Ee-Peng Lim, Zhiwei Liu +1
Recently, contrastive learning has been applied to the sequential recommendation task to address data sparsity caused by users with few item interactions and items with few user ad…
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset
Qiyuan Zhang, Lei Wang, Sicheng Yu +4
While diverse question answering (QA) datasets have been proposed and contributed significantly to the development of deep learning models for QA tasks, the existing datasets fall…
MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers
Yihuai Lan, Lei Wang, Qiyuan Zhang +5
Developing automatic Math Word Problem (MWP) solvers has been an interest of NLP researchers since the 1960s. Over the last few years, there are a growing number of datasets and de…