Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills
- Changsheng Wang
- Chongyu Fan
- et al.
- 2025
- EMNLP 2025
Conference paper
Publications
12 results for Yihua Zhang
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 paperWhen is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
- Hongkang Li
- Yihua Zhang
- et al.
- 2025
- ICLR 2025
Conference paperWAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2024
- NeurIPS 2024
Conference paperRevisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
- Yihua Zhang
- Pingzhi Li
- et al.
- 2024
- ICML 2024
Conference paperSalUn: Empowering Machine Unlearning via Gradient-Based Weight Saliency in Both Image Classification and Generation
- Chongyu Fan
- Jiancheng Liu
- et al.
- 2024
- ICLR 2024
Conference paperZeroth-Order Machine Learning: Fundamental Principles and Emerging Applications in Foundation Models
- Sijia Liu
- Tianlong Chen
- et al.
- 2024
- AAAI 2024
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