Author

Jiuhai Chen

Observed name: Chen, Jiuhai

Institutions: Salesforce (United States), University of Maryland, College Park

Observed institutions: Illinois Institute of Technology, Salesforce (United States), University of Maryland, College Park

OpenAlex ID: A5032791121

From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning

2024 · Ming Li, Yong Zhang, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 49

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Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness

2024 · Jiuhai Chen, Jonas Mueller · Annual Meeting of the Association for Computational Linguistics (ACL) · 32

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When do you need Chain-of-Thought Prompting for ChatGPT?

2023 · Chen, Jiuhai, Chen, Lichang, et al. · arXiv (Cornell University) · 18

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Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning

2024 · Ming Li, Lichang Chen, et al. · 16

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Particle-based energetic variational inference

2021 · Yiwei Wang, Jiuhai Chen, et al. · Statistics and Computing · 16

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InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models

2023 · Chen, Lichang, Chen, Jiuhai, et al. · arXiv (Cornell University) · 13

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How Many Demonstrations Do You Need for In-context Learning?

2023 · Jiuhai Chen, Lichang Chen, et al. · 12

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Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion

2025 · Jiuhai Chen, Jianwei Yang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 11

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Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement

2025 · Xiyao Wang, Jiuhai Chen, et al. · Findings of the Association for Computational Linguistics: NAACL · 8

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From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning

2023 · Li, Ming, Zhang, Yong, et al. · arXiv (Cornell University) · 8

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Why Propagate Alone? Parallel Use of Labels and Features on Graphs

2021 · Wang, Yangkun, Jin, Jiarui, et al. · arXiv (Cornell University) · 5

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Automated Data Curation for Robust Language Model Fine-Tuning

2024 · Chen, Jiuhai, Mueller, Jonas · arXiv (Cornell University) · 4