Jinghan Jia
18 papers · 2022–2026 · 9 conferences · across top CS/AI conferences
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Keywords
machine unlearning
(7)
model utility
(3)
large language model
(3)
knowledge editing
(2)
model editing
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prompt learning
(1)
self-supervised learning
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few-shot learning
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video understanding
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model unlearning
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adversarial training
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text-to-image generation
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gradient-based optimization
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preference optimization
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data privacy
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chain-of-thought reasoning
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second-order optimization
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feature mapping
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diffusion model
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transfer learning
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Papers
BLUR: A Bi-Level Optimization Approach for LLM Unlearning
EACL 2026
Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills
EMNLP 2025
SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs?
ACL 2025
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond
ICML 2025
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
ICML 2025
Robust Multi-bit Text Watermark with LLM-based Paraphrasers
ICML 2025
Leveraging LLMs for Dialogue Quality Measurement
NAACL 2024
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now
ECCV 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
EMNLP 2024
DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training
ICLR 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
NIPS 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
NIPS 2024
UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models
NIPS 2024
Model Sparsity Can Simplify Machine Unlearning
NIPS 2023
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
NIPS 2023
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization
ICLR 2023
Text-Visual Prompting for Efficient 2D Temporal Video Grounding
CVPR 2023
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
ICLR 2022