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 (EMNLP (1), 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)

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 (ACL/IJCNLP (1), 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 (ACL/IJCNLP (1), 2021)

GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems. - Bosheng Ding; Junjie Hu 001; Lidong Bing; Sharifah Mahani Aljunied; Shafiq R. Joty; Luo Si; Chunyan Miao (ACL (1), 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)

Is GPT-3 a Good Data Annotator? - Bosheng Ding; Chengwei Qin; Linlin Liu; Lidong Bing; Shafiq R. Joty; Boyang Li 001 (CoRR, 2022)

Is GPT-3 a Good Data Annotator? - Bosheng Ding; Chengwei Qin; Linlin Liu; Yew Ken Chia; Boyang Li 001; Shafiq Joty; Lidong Bing (ACL (1), 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 (EMNLP (Findings), 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)

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)

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)

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)

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 001; Anh Tuan Luu; Shafiq Joty (ACL (Findings), 2024)

Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources. - Xingxuan Li; Ruochen Zhao; Yew Ken Chia; Bosheng Ding; Shafiq Joty; Soujanya Poria; Lidong Bing (ICLR, 2024)

Exploring Self-supervised Logic-enhanced Training for Large Language Models. - Fangkai Jiao; Zhiyang Teng; Bosheng Ding; Zhengyuan Liu; Nancy F. Chen; Shafiq Joty (NAACL-HLT, 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)

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)

StructTest: Benchmarking LLMs' Reasoning through Compositional Structured Outputs. - Hailin Chen; Fangkai Jiao; Mathieu Ravaut; Nawshad Farruque; Xuan-Phi Nguyen; Chengwei Qin; Manan Dey; Bosheng Ding; Caiming Xiong; Shafiq Joty; Yingbo Zhou (CoRR, 2024)

Generative AI: A systematic review using topic modelling techniques. - Priyanka Gupta; Bosheng Ding; Chong Guan; Ding Ding (Data Inf. Manag., 2024)

U2D2Net: Unsupervised Unified Image Dehazing and Denoising Network for Single Hazy Image Enhancement. - Bosheng Ding; Ruiheng Zhang; Lixin Xu; Guanyu Liu; Shuo Yang 006; Yumeng Liu; Qi Zhang 004 (IEEE Trans. Multim., 2024)

Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning. - Chengwei Qin; Wenhan Xia; Fangkai Jiao; Chen Chen 075; Yuchen Hu; Bosheng Ding; Ruirui Chen 002; Shafiq Joty (ACL (1), 2025)

Relevant or Random: Can LLMs Truly Perform Analogical Reasoning? - Chengwei Qin; Wenhan Xia; Tan Wang; Fangkai Jiao; Yuchen Hu; Bosheng Ding; Ruirui Chen 002; Shafiq Joty (ACL (Findings), 2025)

A Comprehensive Survey of Contamination Detection Methods in Large Language Models. - Mathieu Ravaut; Bosheng Ding; Fangkai Jiao; Hailin Chen; Xingxuan Li; Ruochen Zhao; Chengwei Qin; Caiming Xiong; Shafiq Joty (Trans. Mach. Learn. Res., 2025)

Toward Super Agent System with Hybrid AI Routers. - Yuhang Yao; Haixin Wang; Yibo Chen; Jiawen Wang; Min Chang Jordan Ren; Bosheng Ding; Salman Avestimehr; Chaoyang He 001 (CoRR, 2025)