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Bosheng Ding
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2020 – today
- 2024
- [j3]Priyanka Gupta, Bosheng Ding, Chong Guan, Ding Ding:
Generative AI: A systematic review using topic modelling techniques. Data Inf. Manag. 8(2): 100066 (2024) - [j2]Bosheng Ding, Ruiheng Zhang, Lixin Xu, Guanyu Liu, Shuo Yang, Yumeng Liu, Qi Zhang:
U2D2Net: Unsupervised Unified Image Dehazing and Denoising Network for Single Hazy Image Enhancement. IEEE Trans. Multim. 26: 202-217 (2024) - [c9]Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty:
Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges. ACL (Findings) 2024: 1679-1705 - [c8]Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Shafiq Joty, Soujanya Poria, Lidong Bing:
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources. ICLR 2024 - [c7]Fangkai Jiao, Zhiyang Teng, Bosheng Ding, Zhengyuan Liu, Nancy F. Chen, Shafiq Joty:
Exploring Self-supervised Logic-enhanced Training for Large Language Models. NAACL-HLT 2024: 926-941 - [i13]Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty:
Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges. CoRR abs/2403.02990 (2024) - [i12]Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty:
How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library. CoRR abs/2404.00699 (2024) - [i11]Chengwei Qin, Wenhan Xia, Tan Wang, Fangkai Jiao, Yuchen Hu, Bosheng Ding, Ruirui Chen, Shafiq Joty:
Relevant or Random: Can LLMs Truly Perform Analogical Reasoning? CoRR abs/2404.12728 (2024) - [i10]Fang Liu, Bosheng Ding, Chong Guan, Zhang Wei, Dusit Niyato, Justina Tan:
Demystify Adult Learning: A Social Network and Large Language Model Assisted Approach. CoRR abs/2404.13267 (2024) - 2023
- [c6]Bosheng Ding, Chengwei Qin, Linlin Liu, Yew Ken Chia, Boyang Li, Shafiq Joty, Lidong Bing:
Is GPT-3 a Good Data Annotator? ACL (1) 2023: 11173-11195 - [c5]Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Do Xuan Long, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq Joty:
Retrieving Multimodal Information for Augmented Generation: A Survey. EMNLP (Findings) 2023: 4736-4756 - [i9]Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Xuan Long Do, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq R. Joty:
Retrieving Multimodal Information for Augmented Generation: A Survey. CoRR abs/2303.10868 (2023) - [i8]Ruochen Zhao, Xingxuan Li, Yew Ken Chia, Bosheng Ding, Lidong Bing:
Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of New Generation Search Engines. CoRR abs/2304.11076 (2023) - [i7]Fangkai Jiao, Bosheng Ding, Tianze Luo, Zhanfeng Mo:
Panda LLM: Training Data and Evaluation for Open-Sourced Chinese Instruction-Following Large Language Models. CoRR abs/2305.03025 (2023) - [i6]Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Lidong Bing, Shafiq R. Joty, Soujanya Poria:
Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases. CoRR abs/2305.13269 (2023) - [i5]Fangkai Jiao, Zhiyang Teng, Shafiq R. Joty, Bosheng Ding, Aixin Sun, Zhengyuan Liu, Nancy F. Chen:
LogicLLM: Exploring Self-supervised Logic-enhanced Training for Large Language Models. CoRR abs/2305.13718 (2023) - 2022
- [j1]Bosheng Ding, Huimin Chen, Lixin Xu, Ruiheng Zhang:
Restoration of Single Sand-Dust Image Based on Style Transformation and Unsupervised Adversarial Learning. IEEE Access 10: 90092-90100 (2022) - [c4]Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Mahani Aljunied, Shafiq R. Joty, Luo Si, Chunyan Miao:
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems. ACL (1) 2022: 1639-1657 - [i4]Bosheng Ding, Chengwei Qin, Linlin Liu, Lidong Bing, Shafiq R. Joty, Boyang Li:
Is GPT-3 a Good Data Annotator? CoRR abs/2212.10450 (2022) - 2021
- [c3]Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si:
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. ACL/IJCNLP (1) 2021: 2208-2222 - [c2]Linlin Liu, Bosheng Ding, Lidong Bing, Shafiq R. Joty, Luo Si, Chunyan Miao:
MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER. ACL/IJCNLP (1) 2021: 5834-5846 - [i3]Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si:
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. CoRR abs/2106.03164 (2021) - [i2]Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Aljunied Mahani, Shafiq R. Joty, Luo Si, Chunyan Miao:
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems. CoRR abs/2110.07679 (2021) - 2020
- [c1]Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq R. Joty, Luo Si, Chunyan Miao:
DAGA: Data Augmentation with a Generation Approach forLow-resource Tagging Tasks. EMNLP (1) 2020: 6045-6057 - [i1]Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq R. Joty, Luo Si, Chunyan Miao:
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks. CoRR abs/2011.01549 (2020)
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aka: Shafiq Joty
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last updated on 2024-11-06 21:32 CET by the dblp team
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