Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills
- Changsheng Wang
- Chongyu Fan
- et al.
- 2025
- EMNLP 2025
Conference paper
Publications
8 results for Jinghan Jia
LLM Unlearning on Noisy Forget Sets: A Study of Incomplete, Rewritten, and Watermarked Data
- Changsheng Wang
- Yihua Zhang
- et al.
- 2025
- AISec 2025
Workshop paperInvariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
- Changsheng Wang
- Yihua Zhang
- et al.
- 2025
- ICML 2025
Conference paperRethinking Unlearning for Large Reasoning Models Download PDF
- Changsheng Wang
- Chongyu Fan
- et al.
- 2025
- ICML 2025
Workshop paperNoisy But Forgotten: LLM Unlearning are Robust against Perturbed Data in the Wild
- Changsheng Wang
- Yihua Zhang
- et al.
- 2025
- ICML 2025
Workshop paperWAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2024
- NeurIPS 2024
Conference paperModel Sparsity Can Simplify Machine Unlearning
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2023
- NeurIPS 2023
Conference paperHow to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
- Yimeng Zhang
- Yuguang Yao
- et al.
- 2022
- ICLR 2022
Conference paper