Jinghui Lu
Jinghui Lu
ByteDance Inc., School of Computer Science, University College Dublin
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Investigating the effectiveness of representations based on pretrained transformer-based language models in active learning for labelling text datasets
J Lu, B MacNamee
arXiv preprint arXiv:2004.13138, 2020
A rationale-centric framework for human-in-the-loop machine learning
J Lu, L Yang, B Mac Namee, Y Zhang
ACL 2022, 2022
Diverging divergences: Examining variants of Jensen Shannon divergence for corpus comparison tasks
J Lu, M Henchion, B Mac Namee
A sentence-level hierarchical bert model for document classification with limited labelled data
J Lu, M Henchion, I Bacher, BM Namee
Discovery Science: 24th International Conference, DS 2021, Halifax, NS …, 2021
Extending Jensen Shannon Divergence to Compare Multiple Corpora.
J Lu, M Henchion, B Mac Namee
AICS, 76-88, 2017
What Makes Pre-trained Language Models Better Zero-shot Learners?
J Lu, D Zhu, W Han, R Zhao, B Mac Namee, F Tan
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
Punifiedner: a prompting-based unified ner system for diverse datasets
J Lu, R Zhao, B Mac Namee, F Tan
Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13327 …, 2023
Deeply Coupled Cross-Modal Prompt Learning
X Liu, W Tang, J Lu, R Zhao, Z Guo, F Tan
ACL 2023 Findings, 2023
Large language models on wikipedia-style survey generation: an evaluation in nlp concepts
F Gao, H Jiang, M Blum, J Lu, Y Jiang, I Li
arXiv preprint arXiv:2308.10410, 2023
Unidoc: A universal large multimodal model for simultaneous text detection, recognition, spotting and understanding
H Feng, Z Wang, J Tang, J Lu, W Zhou, H Li, C Huang
arXiv preprint arXiv:2308.11592, 2023
A topic-based approach to multiple corpus comparison.
J Lu, M Henchion, B Mac Namee
AICS, 64-75, 2019
SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning
Z Mao, D Zhu, J Lu, R Zhao, F Tan
arXiv preprint arXiv:2210.03963, 2022
Effect of Combination of HBM and Certainty Sampling on Workload of Semi-Automated Grey Literature Screening
J Lu, M Henchion, B Mac Namee
3rd Workshop on Human in the Loop Learning at 38th International Conference …, 2021
What Large Language Models Bring to Text-rich VQA?
X Liu, W Tang, X Ni, J Lu, R Zhao, Z Li, F Tan
arXiv preprint arXiv:2311.07306, 2023
Supervised and Unsupervised Text Mining for Grey Literature Screening
J Lu
University College Dublin, 2021
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