conftrace_

gradient ascent

51 papers

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Also known as

GA

Co-occurring keywords

machine unlearning (290) large language model (13587) privacy preservation (380) knowledge forgetting (34) knowledge distillation (3725) knowledge removal (20) adversarial example (564) multimodal large language model (966) generative model (2892) adversarial attack (1621)

Papers

Unbiased Rectification for Sequential Recommender Systems Under Fake Orders AAAI 2026
Rectifying Belief Space via Unlearning to Harness LLMs’ Reasoning ACL 2025
GIL-IIMAS UNAM at SemEval-2025 Task 4: LA-Min(E): LLM Unlearning Approaches Under Function Minimizing Evaluation Constraints ACL 2025
UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets EMNLP 2025
A General Framework to Enhance Fine-tuning-based LLM Unlearning ACL 2025
CLEAR: Character Unlearning in Textual and Visual Modalities ACL 2025
DUTir at SemEval-2025 Task 4: Optimized Fine-Tuning of Linear Layers for Balanced Knowledge Forgetting and Retention SEMEVAL 2025
Forget the Token and Pixel: Rethinking Gradient Ascent for Concept Unlearning in Multimodal Generative Models ACL 2025
NEKO at SemEval-2025 Task 4: A Gradient Ascent Based Machine Unlearning Strategy SEMEVAL 2025
GIL-IIMAS UNAM at SemEval-2025 Task 4: LA-Min(E): LLM Unlearning Approaches Under Function Minimizing Evaluation Constraints SEMEVAL 2025
GUIR at SemEval-2025 Task 4: Adaptive Weight Tuning with Gradual Negative Matching for LLM Unlearning SEMEVAL 2025
NEKO at SemEval-2025 Task 4: A Gradient Ascent Based Machine Unlearning Strategy ACL 2025
GUIR at SemEval-2025 Task 4: Adaptive Weight Tuning with Gradual Negative Matching for LLM Unlearning ACL 2025
DUTir at SemEval-2025 Task 4: Optimized Fine-Tuning of Linear Layers for Balanced Knowledge Forgetting and Retention ACL 2025
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models ACL 2025
EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models EMNLP 2024
Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples CVPR 2024
Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints NIPS 2024
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization NIPS 2024
Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games AAAI 2024
Unlearning Traces the Influential Training Data of Language Models ACL 2024
Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models EMNLP 2024
Machine Unlearning of Pre-trained Large Language Models ACL 2024
Performative Reinforcement Learning ICML 2023
Simulated Annealing in Early Layers Leads to Better Generalization CVPR 2023