Rachael Hwee Ling Sim
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
4
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | Uncovering Scaling Laws for Large Language Models via Inverse Problems. | 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 |
| 2024 | AAAI | DeRDaVa: Deletion-Robust Data Valuation for Machine Learning. | Xiao Tian, Rachael Hwee Ling Sim, Jue Fan, Bryan Kian Hsiang Low |
| 2024 | EMNLP | Position Paper: Data-Centric AI in the Age of Large Language Models. | 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 |
| 2024 | ICML | Deletion-Anticipative Data Selection with a Limited Budget. | Rachael Hwee Ling Sim, Jue Fan, Xiao Tian, Patrick Jaillet, Bryan Kian Hsiang Low |
| 2023 | AAAI | Probably Approximate Shapley Fairness with Applications in Machine Learning. | Zijian Zhou, Xinyi Xu, Rachael Hwee Ling Sim, Chuan Sheng Foo, Bryan Kian Hsiang Low |
| 2022 | IJCAI | Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges. | Rachael Hwee Ling Sim, Xinyi Xu, Bryan Kian Hsiang Low |
| 2021 | ICML | Collaborative Bayesian Optimization with Fair Regret. | Rachael Hwee Ling Sim, Yehong Zhang, Bryan Kian Hsiang Low, Patrick Jaillet |
| 2020 | ICML | Collaborative Machine Learning with Incentive-Aware Model Rewards. | Rachael Hwee Ling Sim, Yehong Zhang, Mun Choon Chan, Bryan Kian Hsiang Low |