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Xiaoqiang Lin
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Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
X Lin, Z Wu, Z Dai, W Hu, Y Shu, SK Ng, P Jaillet, BKH Low
41th International Conference on Machine Learning (ICML-2024), 2023
70*2023
Prompt optimization with human feedback
X Lin, Z Dai, A Verma, SK Ng, P Jaillet, BKH Low
arXiv preprint arXiv:2405.17346, 2024
422024
Localized zeroth-order prompt optimization
W Hu, Y Shu, Z Yu, Z Wu, X Lin, Z Dai, SK Ng, BKH Low
38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), 2024
382024
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
Z Wu, X Lin, Z Dai, W Hu, Y Shu, SK Ng, P Jaillet, BKH Low
38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), 2024
292024
Fair yet Asymptotically Equal Collaborative Learning
X Lin, X Xu, SK Ng, CS Foo, BKH Low
40th International Conference on Machine Learning (ICML-2023), 2023
192023
Joint representation learning of legislator and legislation for roll call prediction
Y Yang, X Lin, G Lin, Z Huang, C Jiang, Z Wei
29th International Joint Conferences on Artificial Intelligence (IJCAI-2020 …, 2021
182021
Neural dueling bandits: Preference-based optimization with human feedback
A Verma, Z Dai, X Lin, P Jaillet, BKH Low
The Thirteenth International Conference on Learning Representations, 2024
16*2024
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
J Wang, X Lin, R Qiao, CS Foo, BKH Low
41th International Conference on Machine Learning (ICML-2024), 2024
152024
Federated zeroth-order optimization using trajectory-informed surrogate gradients
Y Shu, X Lin, Z Dai, BKH Low
arXiv preprint arXiv:2308.04077, 2023
152023
Distributionally Robust Data Valuation
X Lin, X Xu, Z Wu, SK Ng, BKH Low
41th International Conference on Machine Learning (ICML-2024), 2024
82024
Data-Centric AI in the Age of Large Language Models
X Xu, Z Wu, R Qiao, A Verma, Y Shu, J Wang, X Niu, Z He, J Chen, Z Zhou, ...
EMNLP Findings 2024, 2024
62024
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
Z Zhou, X Lin, X Xu, A Prakash, D Rus, BKH Low
38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), 2024
52024
Refrag: Rethinking rag based decoding
X Lin, A Ghosh, BKH Low, A Shrivastava, V Mohan
arXiv preprint arXiv:2509.01092, 2025
42025
NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric
J Wang, X Lin, R Qiao, PW Koh, CS Foo, BKH Low
Proceedings of the 42nd International Conference on Machine Learning, 2025
4*2025
Position paper: Data-centric ai in the age of large language models
X Xu, Z Wu, R Qiao, A Verma, Y Shu, J Wang, X Niu, Z He, J Chen, Z Zhou, ...
Findings of the Association for Computational Linguistics: EMNLP 2024, 11895 …, 2024
42024
Data valuation in federated learning
Z Wu, X Xu, RHL Sim, Y Shu, X Lin, L Agussurja, Z Dai, SK Ng, CS Foo, ...
Federated Learning, 281-296, 2024
42024
Fairness in federated learning
X Lin, X Xu, Z Wu, RHL Sim, SK Ng, CS Foo, P Jaillet, TN Hoang, ...
Federated Learning, 143-160, 2024
42024
ActiveDPO: Active Direct Preference Optimization for Sample-Efficient Alignment
X Lin, A Verma, Z Dai, D Rus, SK Ng, BKH Low
arXiv preprint arXiv:2505.19241, 2025
32025
Active human feedback collection via neural contextual dueling bandits
A Verma, X Lin, Z Dai, D Rus, BKH Low
arXiv preprint arXiv:2504.12016, 2025
22025
Heterogeneous federated zeroth-order optimization using gradient surrogates
Y Shu, X Lin, Z Dai, BKH Low
ICML 2024 Workshop on Differentiable Almost Everything: Differentiable …, 2024
12024
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Articles 1–20