ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning. - Ahmed Masry; Do Xuan Long; Jia Qing Tan; Shafiq R. Joty; Enamul Hoque (ACL (Findings), 2022)

CoHS-CQG: Context and History Selection for Conversational Question Generation. - Xuan Long Do; Bowei Zou; Liangming Pan; Nancy F. Chen; Shafiq R. Joty; Ai Ti Aw (COLING, 2022)

OpenCQA: Open-ended Question Answering with Charts. - Shankar Kantharaj; Xuan Long Do; Rixie Tiffany Ko Leong; Jia Qing Tan; Enamul Hoque; Shafiq R. Joty (EMNLP, 2022)

A Deep Learning Platform for Language Education Research and Development. - Kye Min Tan; Richeng Duan; Xin Huang; Bowei Zou; Xuan Long Do (INTERSPEECH, 2022)

Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation. - Xuan Long Do; Bowei Zou; Shafiq R. Joty; Anh Tran Tai; Liangming Pan; Nancy F. Chen; Ai Ti Aw (ACL (1), 2023)

UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning. - Ahmed Masry; Parsa Kavehzadeh; Do Xuan Long; Enamul Hoque; Shafiq Joty (EMNLP, 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)

xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval. - Mohammad Abdullah Matin Khan; M. Saiful Bari; Xuan Long Do; Weishi Wang; Md. Rizwan Parvez; Shafiq R. Joty (CoRR, 2023)

Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation. - Xuan Long Do; Bowei Zou; Shafiq R. Joty; Anh Tai Tran; Liangming Pan; Nancy F. Chen; Ai Ti Aw (CoRR, 2023)

ChOiRe: Characterizing and Predicting Human Opinions with Chain of Opinion Reasoning. - Xuan Long Do; Kenji Kawaguchi; Min-Yen Kan; Nancy F. Chen (CoRR, 2023)

Prompt Optimization via Adversarial In-Context Learning. - Xuan Long Do; Yiran Zhao 006; Hannah Brown; Yuxi Xie; James Xu Zhao; Nancy F. Chen; Kenji Kawaguchi; Michael Qizhe Xie; Junxian He (CoRR, 2023)

Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question Answering and Summarization. - Xuan Long Do; Mohammad Hassanpour; Ahmed Masry; Parsa Kavehzadeh; Enamul Hoque; Shafiq Joty (CoRR, 2023)

Prompt Optimization via Adversarial In-Context Learning. - Do Xuan Long; Yiran Zhao 006; Hannah Brown; Yuxi Xie; James Xu Zhao; Nancy F. Chen; Kenji Kawaguchi; Michael Shieh; Junxian He (ACL (1), 2024)

Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models. - Do Xuan Long; Duong Ngoc Yen; Anh Tuan Luu; Kenji Kawaguchi; Min-Yen Kan; Nancy F. Chen (EMNLP, 2024)

ToXCL: A Unified Framework for Toxic Speech Detection and Explanation. - Nhat M. Hoang; Xuan Long Do; Duc Anh Do; Duc Anh Vu 002; Anh Tuan Luu (NAACL-HLT, 2024)

Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling. - Yiran Zhao 006; Wenyue Zheng; Tianle Cai; Do Xuan Long; Kenji Kawaguchi; Anirudh Goyal; Michael Qizhe Shieh (NeurIPS, 2024)

ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Questions. - Van Long Phuoc Pham; Duc Anh Vu 002; Nhat Minh Hoang; Xuan Long Do; Anh Tuan Luu (SAC, 2024)

Accelerating Greedy Coordinate Gradient via Probe Sampling. - Yiran Zhao 006; Wenyue Zheng; Tianle Cai; Xuan Long Do; Kenji Kawaguchi; Anirudh Goyal; Michael Shieh (CoRR, 2024)

What Makes a Good Natural Language Prompt? - Do Xuan Long; Duy Dinh; Ngoc-Hai Nguyen; Kenji Kawaguchi; Nancy F. Chen; Shafiq Joty; Min-Yen Kan (ACL (1), 2025)

Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines. - Do Xuan Long; Duong Ngoc Yen; Do Xuan Trong; Anh Tuan Luu; Kenji Kawaguchi; Shafiq Joty; Min-Yen Kan; Nancy F. Chen (ACL (Findings), 2025)

Aligning Large Language Models with Human Opinions through Persona Selection and Value-Belief-Norm Reasoning. - Xuan Long Do; Kenji Kawaguchi; Min-Yen Kan; Nancy F. Chen (COLING, 2025)

LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs. - Do Xuan Long; Ngoc-Hai Nguyen; Tiviatis Sim; Hieu Dao; Shafiq Joty; Kenji Kawaguchi; Nancy F. Chen; Min-Yen Kan (NAACL (Long Papers), 2025)

A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems. - Zixuan Ke; Fangkai Jiao; Yifei Ming; Xuan-Phi Nguyen; Austin Xu; Do Xuan Long; Minzhi Li; Chengwei Qin; Peifeng Wang; Silvio Savarese; Caiming Xiong; Shafiq Joty (Trans. Mach. Learn. Res., 2025)