| DAGA: Data augmentation with a generation approach for low-resource tagging tasks B Ding, L Liu, L Bing, C Kruengkrai, TH Nguyen, S Joty, L Si, C Miao EMNLP2020, 2020 | 136 | 2020 |
| On the effectiveness of adapter-based tuning for pretrained language model adaptation R He, L Liu, H Ye, Q Tan, B Ding, L Cheng, JW Low, L Bing, L Si ACL2021, 2021 | 132 | 2021 |
| Is GPT-3 a Good Data Annotator? B Ding, C Qin, L Liu, L Bing, S Joty, B Li ACL2023, 2022 | 115 | 2022 |
| MulDA: A multilingual data augmentation framework for low-resource cross-lingual NER L Liu, B Ding, L Bing, S Joty, L Si, C Miao ACL2021, 5834-5846, 2021 | 65 | 2021 |
| Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases X Li, R Zhao, YK Chia, B Ding, L Bing, S Joty, S Poria ICLR2024, 2024 | 32* | 2024 |
| Globalwoz: Globalizing multiwoz to develop multilingual task-oriented dialogue systems B Ding, J Hu, L Bing, SM Aljunied, S Joty, L Si, C Miao ACL2022, 2021 | 31 | 2021 |
| Retrieving multimodal information for augmented generation: A survey R Zhao, H Chen, W Wang, F Jiao, XL Do, C Qin, B Ding, X Guo, M Li, X Li, ... EMNLP 2023, 2023 | 18 | 2023 |
| Can chatgpt-like generative models guarantee factual accuracy? on the mistakes of new generation search engines R Zhao, X Li, YK Chia, B Ding, L Bing arXiv preprint arXiv:2304.11076, 2023 | 17 | 2023 |
| Logicllm: Exploring self-supervised logic-enhanced training for large language models F Jiao, Z Teng, S Joty, B Ding, A Sun, Z Liu, NF Chen NAACL 2024, 2024 | 7 | 2024 |
| Panda LLM: Training Data and Evaluation for Open-Sourced Chinese Instruction-Following Large Language Models F Jiao, B Ding, T Luo, Z Mo Technical Report, 2023 | 4 | 2023 |
| Data augmentation using llms: Data perspectives, learning paradigms and challenges B Ding, C Qin, R Zhao, T Luo, X Li, G Chen, W Xia, J Hu, AT Luu, S Joty arXiv preprint arXiv:2403.02990, 2024 | 3 | 2024 |
| Generative AI: A systematic review using topic modelling techniques P Gupta, B Ding, C Guan, D Ding Data and Information Management, 100066, 2024 | 2 | 2024 |
| How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library M Ravaut, B Ding, F Jiao, H Chen, X Li, R Zhao, C Qin, C Xiong, S Joty arXiv preprint arXiv:2404.00699, 2024 | | 2024 |
| Unraveling the landscape of large language models: a systematic review and future perspectives Q Ding, D Ding, Y Wang, C Guan, B Ding Journal of Electronic Business & Digital Economics, 2023 | | 2023 |
Shafiq JotyResearch Director at Salesforce Research, Assoc. Prof. at NTU (on leave)Verified email at ntu.edu.sg
