📖 Publications

Preprints

Does Mapo Tofu Contain Coffee? Probing LLMs for Food-related Cultural Knowledge
Li Zhou, Taelin Karidi, Nicolas Garneau, Yong Cao, Wanlong Liu, Wenyu Chen, Daniel Hershcovich
Arxiv 2024. [Arxiv]

Rethinking Relation Classification with Graph Meaning Representations
Li Zhou, Wenyu Chen, Dingyi Zeng, Malu Zhang, Daniel Hershcovich
Arxiv 2023. [Arxiv]

2024

CreoleVal: Multilingual Multitask Benchmarks for Creoles
Heather Lent, Kushal Tatariya, Raj Dabre, Yiyi Chen, Marcell Fekete, Esther Ploeger, Li Zhou, Hans Erik Heje, Diptesh Kanojia, Paul Belony, Marcel Bollmann, Loïc Grobol, Miryam de Lhoneux, Daniel Hershcovich, Michel DeGraff, Anders Søgaard, Johannes Bjerva
Transactions of the Association for Computational Linguistics (TACL). [Arxiv]

MLPs Compass: What is learned when MLPs are combined with PLMs?
Li Zhou, Wenyu Chen, Yong Cao, Dingyi Zeng, Wanlong Liu, Hong Qu.
ICASSP 2024. [Arxiv] [Proceedings]

Cultural Adaptation of Recipes
Yong Cao*, Yova Kementchedjhieva*, Ruixiang Cui, Antonia Karamolegkou, Li Zhou, Megan Dare, Lucia Donatelli, Daniel Hershcovich
Transactions of the Association for Computational Linguistics (TACL).[Arxiv]

2023

Cultural Compass: Predicting Transfer Learning Success in Offensive Language Detection with Cultural Features
Li Zhou, Antonia Karamolegkou, Wenyu Chen, Daniel Hershcovich
Findings of EMNLP 2023. [Arxiv] [Proceedings]

Copyright Violations and Large Language Models
Antonia Karamolegkou*, Jiaang Li*, Li Zhou, Anders Søgaard
EMNLP 2023. [Arxiv] [Proceedings]

Cross-Cultural Transfer Learning for Chinese Offensive Language Detection
Li Zhou, Laura Cabello, Yong Cao, Daniel Hershcovich
Cross-Cultural Considerations in NLP Workshop at EACL 2023 [Proceedings] [Arxiv]

Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study
Yong Cao, Li Zhou, Seolhwa Lee, Laura Cabello Piqueras, Min Chen, Daniel Hershcovich
Cross-Cultural Considerations in NLP Workshop at EACL 2023 [Proceedings] [Arxiv]

DPGNN: Dual-perception graph neural network for representation learning
Li Zhou, Wenyu Chen, Dingyi Zeng, Shaohuan Cheng, Wanlong Liu, Malu Zhang, Hong Qu
Knowledge-Based Systems [Journal] [PDF]

Rethinking Random Walk in Graph Representation Learning
Dingyi Zeng, Wenyu Chen, Wanlong Liu, Li Zhou, Hong Qu
ICASSP 2023 [Proceedings]

Substructure aware graph neural networks
Dingyi Zeng*, Wanlong Liu*, Wenyu Chen, Li Zhou, Malu Zhang, Hong Qu
AAAI 2023 [Proceedings]

2022

A simple graph neural network via layer sniffer
Dingyi Zeng*, Li Zhou*, Wanlong Liu, Hong Qu, Wenyu Chen
ICASSP 2022 [Proceedings]

Document-Level Relation Extraction with Structure Enhanced Transformer Encoder
Wanlong Liu, Li Zhou, Dingyi Zeng, Hong Qu
IJCNN 2022 [Proceedings]

2020

A weighted GCN with logical adjacency matrix for relation extraction
Li Zhou*, Tingyu Wang*, Hong Qu, Li Huang, Yuguo Liu
ECAI 2020 [Proceedings]