Xu Guo

According to our database, Xu Guo authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning.

Xiaoqi Qiu, Yongjie Wang, Xu Guo, Zhiwei Zeng, Yue Yu, Yuhong Feng, Chunyan Miao

CoRR, 2024

Gradient based Feature Attribution in Explainable AI: A Technical Review.

Yongjie Wang, Tong Zhang, Xu Guo, Zhiqi Shen

CoRR, 2024

Generative AI for Synthetic Data Generation: Methods, Challenges and the Future.

Xu Guo, Yiqiang Chen

CoRR, 2024

A Survey on Natural Language Counterfactual Generation.

Yongjie Wang, Xiaoqi Qiu, Yu Yue, Xu Guo, Zhiwei Zeng, Yuhong Feng, Zhiqi Shen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference.

Yige Xu, Xu Guo, Zhiwei Zeng, Chunyan Miao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning.

Xiaoqi Qiu, Yongjie Wang, Xu Guo, Zhiwei Zeng, Yu Yue, Yuhong Feng, Chunyan Miao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Data-efficient domain adaptation for pretrained language models

Xu Guo

PhD thesis, 2023

Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction.

Zilin Du, Haoxin Li, Xu Guo, Boyang Li

CoRR, 2023

Training Multimedia Event Extraction With Generated Images and Captions.

Zilin Du, Yunxin Li, Xu Guo, Yidan Sun, Boyang Li

Proceedings of the 31st ACM International Conference on Multimedia, 2023

InteMATs: Integrating Granularity-Specific Multilingual Adapters for Cross-Lingual Transfer.

Meizhen Liu, Xu Guo, Jiakai He, Jianye Chen, Fengyu Zhou, Siu Cheung Hui

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

GranCATs: Cross-Lingual Enhancement through Granularity-Specific Contrastive Adapters.

Meizhen Liu, Jiakai He, Xu Guo, Jianye Chen, Siu Cheung Hui, Fengyu Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Federated Learning for Personalized Humor Recognition.

Xu Guo, Han Yu, Boyang Li, Hao Wang, Pengwei Xing, Siwei Feng, Zaiqing Nie, Chunyan Miao

ACM Trans. Intell. Syst. Technol., 2022

Missing Value Imputation for Diabetes Prediction.

Fei Luo, Hangwei Qian, Di Wang, Xu Guo, Yan Sun, Eng Sing Lee, Hui Hwang Teong, Ray Tian Rui Lai, Chunyan Miao

Proceedings of the International Joint Conference on Neural Networks, 2022

Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation.

Xu Guo, Boyang Li, Han Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection.

Xu Guo, Boyang Li, Han Yu, Chunyan Miao

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Federated Learning with Diversified Preference for Humor Recognition.

Xu Guo, Pengwei Xing, Siwei Feng, Boyang Li, Chunyan Miao

CoRR, 2020

2019

Agent-based Decision Support for Pain Management in Primary Care Settings.

Xu Guo, Han Yu, Chunyan Miao, Yiqiang Chen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019