Do Xuan Long

Orcid: 0009-0000-6424-8388

According to our database1, Do Xuan Long authored at least 19 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2022
2023
2024
2025
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Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
Aligning Large Language Models with Human Opinions through Persona Selection and Value-Belief-Norm Reasoning.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs.
CoRR, 2024

Accelerating Greedy Coordinate Gradient via Probe Sampling.
CoRR, 2024

ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Questions.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

ToXCL: A Unified Framework for Toxic Speech Detection and Explanation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Prompt Optimization via Adversarial In-Context Learning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question Answering and Summarization.
CoRR, 2023

Prompt Optimization via Adversarial In-Context Learning.
CoRR, 2023

ChOiRe: Characterizing and Predicting Human Opinions with Chain of Opinion Reasoning.
CoRR, 2023

Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation.
CoRR, 2023

xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval.
CoRR, 2023

Retrieving Multimodal Information for Augmented Generation: A Survey.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
A Deep Learning Platform for Language Education Research and Development.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

OpenCQA: Open-ended Question Answering with Charts.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CoHS-CQG: Context and History Selection for Conversational Question Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022


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