ML Anthology

Pang, Jinlong

5 publications

NeurIPS 2025 Evaluating LLM-Contaminated Crowdsourcing Data Without Ground Truth Yichi Zhang, Jinlong Pang, Zhaowei Zhu, Yang Liu
ICLR 2025 Improving Data Efficiency via Curating LLM-Driven Rating Systems Jinlong Pang, Jiaheng Wei, Ankit Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei
ICLR 2025 LLM Unlearning via Loss Adjustment with Only Forget Data Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Shah, Yujia Bao, Yang Liu, Wei Wei
ICML 2025 Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning Jinlong Pang, Na Di, Zhaowei Zhu, Jiaheng Wei, Hao Cheng, Chen Qian, Yang Liu
NeurIPS 2024 Fairness Without Harm: An Influence-Guided Active Sampling Approach Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu