29 citations · 44 across the 15 of their papers we have counts for
7 papers · 1 filter
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction
Shiao Meng, Xuming Hu, Aiwei Liu +4
How to identify semantic relations among entities in a document when only a few labeled documents are available? Few-shot document-level relation extraction (FSDLRE) is crucial for…
An Unforgeable Publicly Verifiable Watermark for Large Language Models
Aiwei Liu, Leyi Pan, Xuming Hu +4
Recently, text watermarking algorithms for large language models (LLMs) have been proposed to mitigate the potential harms of text generated by LLMs, including fake news and copyri…
Contrastive Disentangled Learning on Graph for Node Classification
Xiaojuan Zhang, Jun Fu, Shuang Li
Contrastive learning methods have attracted considerable attention due to their remarkable success in analyzing graph-structured data. Inspired by the success of contrastive learni…
Variational Disentangled Graph Auto-Encoders for Link Prediction
Jun Fu, Xiaojuan Zhang, Shuang Li +1
With the explosion of graph-structured data, link prediction has emerged as an increasingly important task. Embedding methods for link prediction utilize neural networks to generat…
Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing
Aiwei Liu, Wei Liu, Xuming Hu +4
In the context-dependent Text-to-SQL task, the generated SQL statements are refined iteratively based on the user input utterance from each interaction. The input text from each in…
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer
Shuang Li, Xuming Hu, Aiwei Liu +4
Cross-lingual natural language inference is a fundamental problem in cross-lingual language understanding. Many recent works have used prompt learning to address the lack of annota…
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition
Yawen Yang, Xuming Hu, Fukun Ma +4
Named Entity Recognition (NER) is a well and widely studied task in natural language processing. Recently, the nested NER has attracted more attention since its practicality and di…