Do Xuan Long

Orcid: 0009-0000-6424-8388

According to our database1, Do Xuan Long authored at least 18 papers between 2022 and 2024.

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

Timeline

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Bibliography

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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