Bryan Kian Hsiang Low

Venues

Frequent coauthors

Papers

1. EULoInf: Efficient Hessian-Free Entropy Based Uncertainty-Aware Data Influence Approximation
   ACL 2026 ·

   Runxin Cai

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2. Prompting the Unknown: Understanding Response Uncertainty in Large Language Models
   ACL 2026 ·

   Ze Yu Zhang

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3. Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graph for Retrieval-Augmented Generation
   EACL 2026 ·

   Ze Yu Zhang

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4. BILBO: BILevel Bayesian Optimization
   ICML 2025 ·

   Wan Theng Ruth Chew

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5. Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space
   ICLR 2025 ·

   Zhiliang Chen

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6. DUPRE: Data Utility Prediction for Efficient Data Valuation
   AAMAS 2025 ·

   Kieu Thao Nguyen Pham

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7. Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning Tasks
   EMNLP 2025 ·

   Wenyang Hu

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8. Efficient Top-m Data Values Identification for Data Selection
   ICLR 2025 ·

   Xiaoqiang Lin

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9. Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models
   ICML 2025 ·

   Yao Shu

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10. Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
    ICLR 2025 ·

    Rui Qiao

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11. Incentivizing Time-Aware Fairness in Data Sharing
    NeurIPS 2025 ·

    Jiangwei Chen

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12. NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric
    ICML 2025 ·

    Jingtan Wang

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13. Neural Dueling Bandits: Preference-Based Optimization with Human Feedback
    ICLR 2025 ·

    Arun Verma

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14. PIED: Physics-Informed Experimental Design for Inverse Problems
    ICLR 2025 ·

    Apivich Hemachandra

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15. Paid with Models: Optimal Contract Design for Collaborative Machine Learning
    AAAI 2025 ·

    Bingchen Wang

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16. TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding
    ACL 2025 ·

    Zhaoxuan Wu

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17. Uncovering Scaling Laws for Large Language Models via Inverse Problems
    EMNLP 2025 ·

    Arun Verma

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18. WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data
    ACL 2025 ·

    Xinyang Lu

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19. A Unified Framework for Bayesian Optimization under Contextual Uncertainty
    ICLR 2024 ·

    Sebastian Shenghong Tay

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20. Active Set Ordering
    NeurIPS 2024 ·

    Quoc Phong Nguyen

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21. DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
    NeurIPS 2024 ·

    Zijian Zhou

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22. Data Distribution Valuation
    NeurIPS 2024 ·

    Xinyi Xu

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23. DeRDaVa: Deletion-Robust Data Valuation for Machine Learning
    AAAI 2024 ·

    Xiao Tian

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24. Decentralized Sum-of-Nonconvex Optimization
    AAAI 2024 ·

    Zhuanghua Liu

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25. Deletion-Anticipative Data Selection with a Limited Budget
    ICML 2024 ·

    Rachael Hwee Ling Sim

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26. Distributionally Robust Data Valuation
    ICML 2024 ·

    Xiaoqiang Lin

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27. Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization
    NeurIPS 2024 ·

    Zhuanghua Liu

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28. Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
    ICML 2024 ·

    Jingtan Wang

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29. Incentive-Aware Federated Learning with Training-Time Model Rewards
    ICLR 2024 ·

    Zhaoxuan Wu

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30. Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates
    AAAI 2024 ·

    Zhuanghua Liu

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31. Localized Zeroth-Order Prompt Optimization
    NeurIPS 2024 ·

    Wenyang Hu

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32. Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes
    ICLR 2024 ·

    Quoc Phong Nguyen

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33. Optimistic Bayesian Optimization with Unknown Constraints
    ICLR 2024 ·

    Quoc Phong Nguyen

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34. PINNACLE: PINN Adaptive ColLocation and Experimental points selection
    ICLR 2024 ·

    Gregory Kang Ruey Lau

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35. Position Paper: Data-Centric AI in the Age of Large Language Models
    EMNLP 2024 ·

    Xinyi Xu

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36. Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
    NeurIPS 2024 ·

    Zhaoxuan Wu

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37. Robustifying and Boosting Training-Free Neural Architecture Search
    ICLR 2024 ·

    Zhenfeng He

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38. Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components
    ICML 2024 ·

    Zhiliang Chen

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39. Understanding Domain Generalization: A Noise Robustness Perspective
    ICLR 2024 ·

    Rui Qiao

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40. Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
    ICML 2024 ·

    Xiaoqiang Lin

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41. Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs
    EMNLP 2024 ·

    Gregory Kang Ruey Lau

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42. Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization
    ICML 2024 ·

    Zhuanghua Liu

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