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Xingwei He (贺星伟)
Title
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Year
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators
X He, Z Lin, Y Gong, A Jin, H Zhang, C Lin, J Jiao, SM Yiu, N Duan, ...
NAACL 2024 Industry Track, 2023
1002023
Tweet modeling with LSTM recurrent neural networks for hashtag recommendation
J Li, H Xu, X He, J Deng, X Sun
International Joint Conference on Neural Networks, 2016
912016
Parallel Refinements for Lexically Constrained Text Generation with BART
X He
EMNLP 2021 (Long Paper), 2021
372021
Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet
X He, VOK Li
AAAI 2021, 2021
222021
FastBTM: Reducing the Sampling Time for Biterm Topic Model
X He, H Xu, J Li, L He, L Yu
Knowledge-Based Systems 132, 11-20, 2017
222017
Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning
X He, Y Gong, AL Jin, W Qi, H Zhang, J Jiao, B Zhou, B Cheng, SM Yiu, ...
EMNLP 2022 (Long Paper, Oral Presentation), 2022
142022
Controllable Dictionary Example Generation: Generating Example Sentences for Specific Targeted Audiences
X He, SM Yiu
ACL 2022 (Long Paper), 2022
92022
ABiRCNN with Neural Tensor Network for Answer Selection
X He, H Xu, X Sun, J Deng, J Li
International Joint Conference on Neural Networks, 2017
32017
Optimize Collapsed Gibbs Sampling for Biterm Topic Model by Alias Method
X He, H Xu, X Sun, J Deng, X Bai, J Li
International Joint Conference on Neural Networks, 2017
32017
Noisy Pair Corrector for Dense Retrieval
H Zhang, Y Gong, X He, D Liu, D Guo, J Lv, J Guo
EMNLP 2023 Findings (Long Paper), 2023
22023
CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion
X He, Y Gong, A Jin, H Zhang, A Dong, J Jiao, SM Yiu, N Duan
EMNLP 2023 (Long Paper), 2023
2*2023
PivotFEC: Enhancing Few-shot Factual Error Correction with a Pivot Task Approach using Large Language Models
X He, AL Jin, J Ma, Y Yuan, S Yiu
EMNLP 2023 Findings (Long Paper), 9960-9976, 2023
12023
A Survey of Generative Techniques for Spatial-Temporal Data Mining
Q Zhang, H Wang, C Long, L Su, X He, J Chang, T Wu, H Yin, SM Yiu, ...
arXiv preprint arXiv:2405.09592, 2024
2024
Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval
H Zhang, Y Gong, D Liu, S Zhang, X He, J Lv, J Guo
Proceedings of the 2024 Joint International Conference on Computational …, 2024
2024
Improving Factual Error Correction by Learning to Inject Factual Errors
X He, Q Zhang, A Jin, J Ma, Y Yuan, SM Yiu
AAAI 2024, 2024
2024
Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval
COLING 2024, 0
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Articles 1–16