Bosheng Ding

According to our database, Bosheng Ding authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

U²D²Net: Unsupervised Unified Image Dehazing and Denoising Network for Single Hazy Image Enhancement.

Bosheng Ding, Ruiheng Zhang, Lixin Xu, Guanyu Liu, Shuo Yang, Yumeng Liu, Qi Zhang

IEEE Trans. Multim., 2024

Generative AI: A systematic review using topic modelling techniques.

Priyanka Gupta, Bosheng Ding, Chong Guan, Ding Ding

Data Inf. Manag., 2024

Demystify Adult Learning: A Social Network and Large Language Model Assisted Approach.

Fang Liu, Bosheng Ding, Chong Guan, Zhang Wei, Dusit Niyato, Justina Tan

CoRR, 2024

Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?

Chengwei Qin, Wenhan Xia, Tan Wang, Fangkai Jiao, Yuchen Hu, Bosheng Ding, Ruirui Chen, Shafiq Joty

CoRR, 2024

How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library.

Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty

CoRR, 2024

Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges.

Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty

CoRR, 2024

2023

LogicLLM: Exploring Self-supervised Logic-enhanced Training for Large Language Models.

Fangkai Jiao, Zhiyang Teng, Shafiq R. Joty, Bosheng Ding, Aixin Sun, Zhengyuan Liu, Nancy F. Chen

CoRR, 2023

Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases.

Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Lidong Bing, Shafiq R. Joty, Soujanya Poria

CoRR, 2023

Panda LLM: Training Data and Evaluation for Open-Sourced Chinese Instruction-Following Large Language Models.

Fangkai Jiao, Bosheng Ding, Tianze Luo, Zhanfeng Mo

CoRR, 2023

Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of New Generation Search Engines.

Ruochen Zhao, Xingxuan Li, Yew Ken Chia, Bosheng Ding, Lidong Bing

CoRR, 2023

Retrieving Multimodal Information for Augmented Generation: A Survey.

Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Xuan Long Do, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq R. Joty

CoRR, 2023

Retrieving Multimodal Information for Augmented Generation: A Survey.

Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Do Xuan Long, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq Joty

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Is GPT-3 a Good Data Annotator?

Bosheng Ding, Chengwei Qin, Linlin Liu, Yew Ken Chia, Boyang Li, Shafiq Joty, Lidong Bing

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Is GPT-3 a Good Data Annotator?

Bosheng Ding, Chengwei Qin, Linlin Liu, Lidong Bing, Shafiq R. Joty, Boyang Li

CoRR, 2022

Restoration of Single Sand-Dust Image Based on Style Transformation and Unsupervised Adversarial Learning.

Bosheng Ding, Huimin Chen, Lixin Xu, Ruiheng Zhang

IEEE Access, 2022

GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems.

Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Mahani Aljunied, Shafiq R. Joty, Luo Si, Chunyan Miao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER.

Linlin Liu, Bosheng Ding, Lidong Bing, Shafiq R. Joty, Luo Si, Chunyan Miao

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation.

Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks.

Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq R. Joty, Luo Si, Chunyan Miao

CoRR, 2020

DAGA: Data Augmentation with a Generation Approach forLow-resource Tagging Tasks.

Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq R. Joty, Luo Si, Chunyan Miao

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020