PPaperPicks

Bryan Kian Hsiang Low

42 papers at tracked venues · 36 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-2808-451X ↗Homepage ↗

Venues

ICLR ×12ICML ×9NeurIPS ×7AAAI ×4ACL ×4EMNLP ×4AAMAS ×1EACL ×1

Frequent coauthors

See-Kiong Ng
×12
Xiaoqiang Lin
×11
Zhaoxuan Wu
×11
Chuan-Sheng Foo
×9
Jingtan Wang
×7
Wenyang Hu
×7
Zhongxiang Dai
×7
Patrick Jaillet
×7
Arun Verma
×6
Rachael Hwee Ling Sim
×6
Gregory Kang Ruey Lau
×6
Xinyi Xu
×6

Papers

  1. EULoInf: Efficient Hessian-Free Entropy Based Uncertainty-Aware Data Influence Approximation
    ACL 2026 ·
    Runxin Cai
    ,
    Jingtan Wang
    , Bryan Kian Hsiang Low
  2. Prompting the Unknown: Understanding Response Uncertainty in Large Language Models
    ACL 2026 ·
    Ze Yu Zhang
    ,
    Arun Verma
    ,
    Finale Doshi-Velez
    , Bryan Kian Hsiang Low
  3. Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graph for Retrieval-Augmented Generation
    EACL 2026 ·
    Ze Yu Zhang
    ,
    Zitao Li
    ,
    Yaliang Li
    ,
    Bolin Ding
    , Bryan Kian Hsiang Low
  4. BILBO: BILevel Bayesian Optimization
    ICML 2025 ·
    Wan Theng Ruth Chew
    ,
    Quoc Phong Nguyen
    , Bryan Kian Hsiang Low
  5. Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space
    ICLR 2025 ·
    Zhiliang Chen
    ,
    Xinyuan Niu
    ,
    Chuan-Sheng Foo
    , Bryan Kian Hsiang Low
  6. DUPRE: Data Utility Prediction for Efficient Data Valuation
    AAMAS 2025 ·
    Kieu Thao Nguyen Pham
    ,
    Rachael Hwee Ling Sim
    ,
    Quoc Phong Nguyen
    ,
    See-Kiong Ng
    , Bryan Kian Hsiang Low
  7. Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning Tasks
    EMNLP 2025 ·
    Wenyang Hu
    ,
    Gregory Kang Ruey Lau
    ,
    Diwen Liu
    ,
    Jizhuo Chen
    ,
    See-Kiong Ng
    , Bryan Kian Hsiang Low
  8. Efficient Top-m Data Values Identification for Data Selection
    ICLR 2025 ·
    Xiaoqiang Lin
    ,
    Xinyi Xu
    ,
    See-Kiong Ng
    , Bryan Kian Hsiang Low
  9. Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models
    ICML 2025 ·
    Yao Shu
    ,
    Wenyang Hu
    ,
    See-Kiong Ng
    , Bryan Kian Hsiang Low,
    Fei Richard Yu
  10. Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
    ICLR 2025 ·
    Rui Qiao
    ,
    Zhaoxuan Wu
    ,
    Jingtan Wang
    ,
    Pang Wei Koh
    , Bryan Kian Hsiang Low
  11. Incentivizing Time-Aware Fairness in Data Sharing
    NeurIPS 2025 ·
    Jiangwei Chen
    ,
    Kieu Thao Nguyen Pham
    ,
    Rachael Hwee Ling Sim
    ,
    Arun Verma
    ,
    Zhaoxuan Wu
    ,
    Chuan Sheng Foo
    , Bryan Kian Hsiang Low
  12. NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric
    ICML 2025 ·
    Jingtan Wang
    ,
    Xiaoqiang Lin
    ,
    Rui Qiao
    ,
    Pang Wei Koh
    ,
    Chuan-Sheng Foo
    , Bryan Kian Hsiang Low
  13. Neural Dueling Bandits: Preference-Based Optimization with Human Feedback
    ICLR 2025 ·
    Arun Verma
    ,
    Zhongxiang Dai
    ,
    Xiaoqiang Lin
    ,
    Patrick Jaillet
    , Bryan Kian Hsiang Low
  14. PIED: Physics-Informed Experimental Design for Inverse Problems
    ICLR 2025 ·
    Apivich Hemachandra
    ,
    Gregory Kang Ruey Lau
    ,
    See-Kiong Ng
    , Bryan Kian Hsiang Low
  15. Paid with Models: Optimal Contract Design for Collaborative Machine Learning
    AAAI 2025 ·
    Bingchen Wang
    ,
    Zhaoxuan Wu
    ,
    Fusheng Liu
    , Bryan Kian Hsiang Low
  16. TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding
    ACL 2025 ·
    Zhaoxuan Wu
    ,
    Zijian Zhou
    ,
    Arun Verma
    ,
    Alok Prakash
    ,
    Daniela Rus
    , Bryan Kian Hsiang Low
  17. Uncovering Scaling Laws for Large Language Models via Inverse Problems
    EMNLP 2025 ·
    Arun Verma
    ,
    Zhaoxuan Wu
    ,
    Zijian Zhou
    ,
    Xiaoqiang Lin
    ,
    Zhiliang Chen
    ,
    Rachael Hwee Ling Sim
    ,
    Rui Qiao
    ,
    Jingtan Wang
    ,
    Nhung Bui
    ,
    Xinyuan Niu
    ,
    Wenyang Hu
    ,
    Gregory Kang Ruey Lau
    ,
    Zi-Yu Khoo
    ,
    Zitong Zhao
    ,
    Xinyi Xu
    ,
    Apivich Hemachandra
    ,
    See-Kiong Ng
    , Bryan Kian Hsiang Low
  18. WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data
    ACL 2025 ·
    Xinyang Lu
    ,
    Jingtan Wang
    ,
    Zitong Zhao
    ,
    Zhongxiang Dai
    ,
    Chuan-Sheng Foo
    ,
    See-Kiong Ng
    , Bryan Kian Hsiang Low
  19. A Unified Framework for Bayesian Optimization under Contextual Uncertainty
    ICLR 2024 ·
    Sebastian Shenghong Tay
    ,
    Chuan-Sheng Foo
    ,
    Daisuke Urano
    ,
    Richalynn Leong
    , Bryan Kian Hsiang Low
  20. Active Set Ordering
    NeurIPS 2024 ·
    Quoc Phong Nguyen
    ,
    Sunil Gupta
    ,
    Svetha Venkatesh
    , Bryan Kian Hsiang Low,
    Patrick Jaillet
  21. DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
    NeurIPS 2024 ·
    Zijian Zhou
    ,
    Xiaoqiang Lin
    ,
    Xinyi Xu
    ,
    Alok Prakash
    ,
    Daniela Rus
    , Bryan Kian Hsiang Low
  22. Data Distribution Valuation
    NeurIPS 2024 ·
    Xinyi Xu
    ,
    Shuaiqi Wang
    ,
    Chuan Sheng Foo
    , Bryan Kian Hsiang Low,
    Giulia Fanti
  23. DeRDaVa: Deletion-Robust Data Valuation for Machine Learning
    AAAI 2024 ·
    Xiao Tian
    ,
    Rachael Hwee Ling Sim
    ,
    Jue Fan
    , Bryan Kian Hsiang Low
  24. Decentralized Sum-of-Nonconvex Optimization
    AAAI 2024 ·
    Zhuanghua Liu
    , Bryan Kian Hsiang Low
  25. Deletion-Anticipative Data Selection with a Limited Budget
    ICML 2024 ·
    Rachael Hwee Ling Sim
    ,
    Jue Fan
    ,
    Xiao Tian
    ,
    Patrick Jaillet
    , Bryan Kian Hsiang Low
  26. Distributionally Robust Data Valuation
    ICML 2024 ·
    Xiaoqiang Lin
    ,
    Xinyi Xu
    ,
    Zhaoxuan Wu
    ,
    See-Kiong Ng
    , Bryan Kian Hsiang Low
  27. Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization
    NeurIPS 2024 ·
    Zhuanghua Liu
    ,
    Luo Luo
    , Bryan Kian Hsiang Low
  28. Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
    ICML 2024 ·
    Jingtan Wang
    ,
    Xiaoqiang Lin
    ,
    Rui Qiao
    ,
    Chuan-Sheng Foo
    , Bryan Kian Hsiang Low
  29. Incentive-Aware Federated Learning with Training-Time Model Rewards
    ICLR 2024 ·
    Zhaoxuan Wu
    ,
    Mohammad Mohammadi Amiri
    ,
    Ramesh Raskar
    , Bryan Kian Hsiang Low
  30. Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates
    AAAI 2024 ·
    Zhuanghua Liu
    ,
    Luo Luo
    , Bryan Kian Hsiang Low
  31. Localized Zeroth-Order Prompt Optimization
    NeurIPS 2024 ·
    Wenyang Hu
    ,
    Yao Shu
    ,
    Zongmin Yu
    ,
    Zhaoxuan Wu
    ,
    Xiaoqiang Lin
    ,
    Zhongxiang Dai
    ,
    See-Kiong Ng
    , Bryan Kian Hsiang Low
  32. Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes
    ICLR 2024 ·
    Quoc Phong Nguyen
    , Bryan Kian Hsiang Low,
    Patrick Jaillet
  33. Optimistic Bayesian Optimization with Unknown Constraints
    ICLR 2024 ·
    Quoc Phong Nguyen
    ,
    Wan Theng Ruth Chew
    ,
    Le Song
    , Bryan Kian Hsiang Low,
    Patrick Jaillet
  34. PINNACLE: PINN Adaptive ColLocation and Experimental points selection
    ICLR 2024 ·
    Gregory Kang Ruey Lau
    ,
    Apivich Hemachandra
    ,
    See-Kiong Ng
    , Bryan Kian Hsiang Low
  35. Position Paper: Data-Centric AI in the Age of Large Language Models
    EMNLP 2024 ·
    Xinyi Xu
    ,
    Zhaoxuan Wu
    ,
    Rui Qiao
    ,
    Arun Verma
    ,
    Yao Shu
    ,
    Jingtan Wang
    ,
    Xinyuan Niu
    ,
    Zhenfeng He
    ,
    Jiangwei Chen
    ,
    Zijian Zhou
    ,
    Gregory Kang Ruey Lau
    ,
    Hieu Dao
    ,
    Lucas Agussurja
    ,
    Rachael Hwee Ling Sim
    ,
    Xiaoqiang Lin
    ,
    Wenyang Hu
    ,
    Zhongxiang Dai
    ,
    Pang Wei Koh
    , Bryan Kian Hsiang Low
  36. Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
    NeurIPS 2024 ·
    Zhaoxuan Wu
    ,
    Xiaoqiang Lin
    ,
    Zhongxiang Dai
    ,
    Wenyang Hu
    ,
    Yao Shu
    ,
    See-Kiong Ng
    ,
    Patrick Jaillet
    , Bryan Kian Hsiang Low
  37. Robustifying and Boosting Training-Free Neural Architecture Search
    ICLR 2024 ·
    Zhenfeng He
    ,
    Yao Shu
    ,
    Zhongxiang Dai
    , Bryan Kian Hsiang Low
  38. Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components
    ICML 2024 ·
    Zhiliang Chen
    ,
    Chuan-Sheng Foo
    , Bryan Kian Hsiang Low
  39. Understanding Domain Generalization: A Noise Robustness Perspective
    ICLR 2024 ·
    Rui Qiao
    , Bryan Kian Hsiang Low
  40. Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
    ICML 2024 ·
    Xiaoqiang Lin
    ,
    Zhaoxuan Wu
    ,
    Zhongxiang Dai
    ,
    Wenyang Hu
    ,
    Yao Shu
    ,
    See-Kiong Ng
    ,
    Patrick Jaillet
    , Bryan Kian Hsiang Low
  41. Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs
    EMNLP 2024 ·
    Gregory Kang Ruey Lau
    ,
    Xinyuan Niu
    ,
    Hieu Dao
    ,
    Jiangwei Chen
    ,
    Chuan-Sheng Foo
    , Bryan Kian Hsiang Low
  42. Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization
    ICML 2024 ·
    Zhuanghua Liu
    ,
    Cheng Chen
    ,
    Luo Luo
    , Bryan Kian Hsiang Low