Author

Do Xuan Long

Observed name: Long, Do Xuan

Observed institution: Nanyang Technological University

OpenAlex ID: A5107179049

Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models

2024 · Do Xuan Long, Duong Ngoc Yen, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 20

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LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs

2025 · Do Xuan Long, Ngoc-Hai Nguyen, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 6

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What Makes a Good Natural Language Prompt?

2025 · Do Xuan Long, Duy Dinh, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 5

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What Makes a Good Natural Language Prompt?

2025 · Long, Do Xuan, Dinh, Duy, et al. · arXiv (Cornell University) · 2

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SpecEvo: Speculative Evolution with Large Language Models for Cost-Efficient Scientific Discovery

2026 · Hieu, Ha Minh, Zhu, Tongyao, et al. · arXiv (Cornell University)

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SWE-MISBEHAVIOR: Benchmarking and Mitigating Boundary Violations in Software Coding Agents

2026 · Trong, Do Xuan, Nguyen, Duc Anh, et al. · arXiv (Cornell University)

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Retrieved But Not Reliable: A Survey on Attacks, and Defenses in Retrieval-Augmented Generation

2026 · Tran, Minh, Dang, Cuong, et al. · arXiv (Cornell University)

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Reinforcing Step-level Reasoning for Effective Self-Correction in LLMs

2026 · Anh, Vu Duc, Hoang, Nhat M., et al. · arXiv (Cornell University)

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A$^2$RD: Agentic Autoregressive Diffusion for Long Video Consistency

2026 · Long, Do Xuan, Song, Yale, et al. · arXiv (Cornell University)

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Anthropogenic Regional Adaptation in Multimodal Vision-Language Model

2026 · Cahyawijaya, Samuel, Limkonchotiwat, Peerat, et al. · arXiv (Cornell University)

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Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines

2025 · Do Xuan Long, Duong Ngoc Yen, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)

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LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs

2024 · Long, Do Xuan, Ngoc, Hai Nguyen, et al. · arXiv (Cornell University)

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Works count: 14

Citation count: 33

H-index: 3

I10-index: 1