Jiuhai Chen
According to our database1,
Jiuhai Chen
authored at least 27 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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2022
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2024
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Bibliography
2024
Trans. Mach. Learn. Res., 2024
Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion.
CoRR, 2024
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement.
CoRR, 2024
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Quantifying Uncertainty in Answers from any Language Model via Intrinsic and Extrinsic Confidence Assessment.
CoRR, 2023
It Takes One to Tango but More Make Trouble? The Number of Demonstrations Needed for In-Context Learning.
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2022
A Robust Stacking Framework for Training Deep Graph Models with Multifaceted Node Features.
CoRR, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features.
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Understanding the Role of Self-Supervised Learning in Out-of-Distribution Detection Task.
CoRR, 2021
CoRR, 2021