| 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 | 35* | 2020 |
| A rationale-centric framework for human-in-the-loop machine learning J Lu, L Yang, B Mac Namee, Y Zhang ACL 2022, 2022 | 34 | 2022 |
| 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 | 21 | 2023 |
| What Makes Pre-trained Language Models Better Zero-shot Learners? J Lu, D Zhu, W Han, R Zhao, B Mac Namee, F Tan ACL 2023, 2022 | 18* | 2022 |
| 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 | 17 | 2021 |
| Diverging divergences: Examining variants of Jensen Shannon divergence for corpus comparison tasks J Lu, M Henchion, B Mac Namee LREC 2020, 2021 | 15 | 2021 |
| 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 | 12 | 2023 |
| Deeply Coupled Cross-Modal Prompt Learning X Liu, W Tang, J Lu, R Zhao, Z Guo, F Tan ACL 2023 Findings, 2023 | 10 | 2023 |
| Extending jensen shannon divergence to compare multiple corpora J Lu, M Henchion, B MacNamee McAuley, J., McKeever, S.(eds.). Proceedings of the 25th Irish Conference on …, 2017 | 9 | 2017 |
| MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering J Tang*, Q Liu*, Y Ye*, J Lu*, S Wei, C Lin, W Li, MFFB Mahmood, H Feng, ... arXiv preprint arXiv:2405.11985, 2024 | 6 | 2024 |
| 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 | 6 | 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 ACL 2024 Findings, 2023 | 6 | 2023 |
| VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization D Zhu, X Tang, W Han, J Lu, Y Zhao, G Xing, J Wang, D Yin NAACL 2024, 2024 | 2 | 2024 |
| SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning Z Mao, D Zhu, J Lu, R Zhao, F Tan LREC-Coling 2024, 2022 | 2 | 2022 |
| A Topic-Based Approach to Multiple Corpus Comparison J Lu, M Henchion, B MacNamee Curry, E., Keane, M., Adegboyega, O., and Salwala, D.(eds.). AICS 2019 …, 2019 | 2 | 2019 |
| Evaluating large language models on wikipedia-style survey generation F Gao, H Jiang, R Yang, Q Zeng, J Lu, M Blum, T She, Y Jiang, I Li Findings of the Association for Computational Linguistics ACL 2024, 5405-5418, 2024 | 1 | 2024 |
| What Makes Good Few-shot Examples for Vision-Language Models? Z Guo, J Lu, X Liu, R Zhao, ZX Qian, F Tan arXiv preprint arXiv:2405.13532, 2024 | 1 | 2024 |
| Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education R Yang, B Yang, S Ouyang, T She, A Feng, Y Jiang, F Lecue, J Lu, I Li arXiv preprint arXiv:2402.14293, 2024 | 1 | 2024 |
| PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition J Lu, Z Yang, Y Wang, X Liu, C Huang arXiv preprint arXiv:2402.04838, 2024 | 1 | 2024 |
| 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 | 1 | 2021 |
Brian Mac NameeUniversity College DublinVerified email at ucd.ie
