53 citations · 59 across the 5 of their papers we have counts for
5 papers
MPL: Multiple Programming Languages with Large Language Models for Information Extraction
Bo Li, Gexiang Fang, Wei Ye +4
Recent research in information extraction (IE) focuses on utilizing code-style inputs to enhance structured output generation. The intuition behind this is that the programming lan…
Relational Contrastive Learning for Scene Text Recognition
Jinglei Zhang, Tiancheng Lin, Yi Xu +2
Context-aware methods achieved great success in supervised scene text recognition via incorporating semantic priors from words. We argue that such prior contextual information can…
Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction
Bo Li, Wei Ye, Jinglei Zhang +1
The typical way for relation extraction is fine-tuning large pre-trained language models on task-specific datasets, then selecting the label with the highest probability of the out…
Sequence Generation with Label Augmentation for Relation Extraction
Bo Li, Dingyao Yu, Wei Ye +2
Sequence generation demonstrates promising performance in recent information extraction efforts, by incorporating large-scale pre-trained Seq2Seq models. This paper investigates th…
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning
Wei Ye, Rui Xie, Jinglei Zhang +3
Code summarization generates brief natural language description given a source code snippet, while code retrieval fetches relevant source code given a natural language query. Since…