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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
22*2023
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
142021
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
82023
Federated zeroth-order optimization using trajectory-informed surrogate gradients
Y Shu, X Lin, Z Dai, BKH Low
arXiv preprint arXiv:2308.04077, 2023
62023
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
52024
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
42024
Prompt Optimization with Human Feedback
X Lin, Z Dai, A Verma, SK Ng, P Jaillet, BKH Low
arXiv preprint arXiv:2405.17346, 2024
32024
Neural dueling bandits
A Verma, Z Dai, X Lin, P Jaillet, BKH Low
arXiv preprint arXiv:2407.17112, 2024
12024
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
12024
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
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
12024
Incentives in federated learning
RHL Sim, SS Tay, X Xu, Y Zhang, Z Wu, X Lin, SK Ng, CS Foo, P Jaillet, ...
Federated Learning, 299-309, 2024
12024
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
12024
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
2024
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
2024
Distributionally Robust Data Valuation
X Lin, X Xu, Z Wu, SK Ng, BKH Low
41th International Conference on Machine Learning (ICML-2024), 2024
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
2024
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