Skip to content

Jingtan Wang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

7

Venues

4

Active years

2024–2026

Best venue rank

A*

Where they publish

Papers

7 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLEULoInf: Efficient Hessian-Free Entropy Based Uncertainty-Aware Data Influence Approximation.Runxin Cai, Jingtan Wang, Bryan Kian Hsiang Low
2025ACLWASA: WAtermark-based Source Attribution for Large Language Model-Generated Data.Xinyang Lu, Jingtan Wang, Zitong Zhao, Zhongxiang Dai, Chuan-Sheng Foo, See-Kiong Ng, Bryan Kian Hsiang Low
2025EMNLPUncovering 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
2025ICLRGroup-robust Sample Reweighting for Subpopulation Shifts via Influence Functions.Rui Qiao, Zhaoxuan Wu, Jingtan Wang, Pang Wei Koh, Bryan Kian Hsiang Low
2025ICMLNICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric.Jingtan Wang, Xiaoqiang Lin, Rui Qiao, Pang Wei Koh, Chuan-Sheng Foo, Bryan Kian Hsiang Low
2024EMNLPPosition 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
2024ICMLHelpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions.Jingtan Wang, Xiaoqiang Lin, Rui Qiao, Chuan-Sheng Foo, Bryan Kian Hsiang Low