Xingwei He

According to our database, Xingwei He authored at least 15 papers between 2021 and 2024.

Collaborative distances:

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

2024

TUBench: Benchmarking Large Vision-Language Models on Trustworthiness with Unanswerable Questions.

Xingwei He, Qianru Zhang, A-Long Jin, Yuan Yuan, Siu-Ming Yiu

CoRR, 2024

A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security.

Qianru Zhang, Peng Yang, Junliang Yu, Haixin Wang, Xingwei He, Siu-Ming Yiu, Hongzhi Yin

CoRR, 2024

Enhancing Few-Shot Stock Trend Prediction with Large Language Models.

Yiqi Deng, Xingwei He, Jiahao Hu, Siu-Ming Yiu

CoRR, 2024

A Survey of Generative Techniques for Spatial-Temporal Data Mining.

Qianru Zhang, Haixin Wang, Cheng Long, Liangcai Su, Xingwei He, Jianlong Chang, Tailin Wu, Hongzhi Yin, Siu-Ming Yiu, Qi Tian, Christian S. Jensen

CoRR, 2024

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators.

Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval.

Hang Zhang, Yeyun Gong, Dayiheng Liu, Shunyu Zhang, Xingwei He, Jiancheng Lv, Jian Guo

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Improving Factual Error Correction by Learning to Inject Factual Errors.

Xingwei He, Qianru Zhang, A-Long Jin, Jun Ma, Yuan Yuan, Siu Ming Yiu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Noisy Pair Corrector for Dense Retrieval.

Hang Zhang, Yeyun Gong, Xingwei He, Dayiheng Liu, Daya Guo, Jiancheng Lv, Jian Guo

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

PivotFEC: Enhancing Few-shot Factual Error Correction with a Pivot Task Approach using Large Language Models.

Xingwei He, A-Long Jin, Jun Ma, Yuan Yuan, Siu Ming Yiu

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

CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion.

Xingwei He, Yeyun Gong, A-Long Jin, Hang Zhang, Anlei Dong, Jian Jiao, Siu-Ming Yiu, Nan Duan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Curriculum Sampling for Dense Retrieval with Document Expansion.

Xingwei He, Yeyun Gong, A-Long Jin, Hang Zhang, Anlei Dong, Jian Jiao, Siu-Ming Yiu, Nan Duan

CoRR, 2022

Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning.

Xingwei He, Yeyun Gong, A-Long Jin, Weizhen Qi, Hang Zhang, Jian Jiao, Bartuer Zhou, Biao Cheng, Siu-Ming Yiu, Nan Duan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Controllable Dictionary Example Generation: Generating Example Sentences for Specific Targeted Audiences.

Xingwei He, Siu-Ming Yiu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Parallel Refinements for Lexically Constrained Text Generation with BART.

Xingwei He

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet.

Xingwei He, Victor O. K. Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021