conftrace_

knowledge forgetting

34 papers

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Co-occurring keywords

large language model (13587) machine unlearning (290) continual learning (1181) knowledge retention (67) gradient ascent (51) gradient descent (1144) preference optimization (302) knowledge editing (295) knowledge distillation (3725) transfer learning (5449)

Papers

Not All Tokens Are Meant to Be Forgotten AAAI 2026
Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models ACL 2026
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent EMNLP 2025
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion AAAI 2025
CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning AAAI 2025
Amuro & Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models NAACL 2025
GUIR at SemEval-2025 Task 4: Adaptive Weight Tuning with Gradual Negative Matching for LLM Unlearning ACL 2025
NEKO at SemEval-2025 Task 4: A Gradient Ascent Based Machine Unlearning Strategy ACL 2025
R-TOFU: Unlearning in Large Reasoning Models EMNLP 2025
Continual Learning in Large Language Models: Foundations to Frontiers IJCNLP 2025
UNLEARN Efficient Removal of Knowledge in Large Language Models NAACL 2025
ReLearn: Unlearning via Learning for Large Language Models ACL 2025
SeqMMR: Sequential Model Merging and LLM Routing for Enhanced Batched Sequential Knowledge Editing ACL 2025
DUTir at SemEval-2025 Task 4: Optimized Fine-Tuning of Linear Layers for Balanced Knowledge Forgetting and Retention ACL 2025
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP ACL 2025
Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills EMNLP 2025
DUTir at SemEval-2025 Task 4: Optimized Fine-Tuning of Linear Layers for Balanced Knowledge Forgetting and Retention SEMEVAL 2025
Improving Instruct Models for Free: A Study on Partial Adaptation EMNLP 2025
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization EMNLP 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators AISTATS 2024
One Step Learning, One Step Review AAAI 2024
LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin ACL 2024
How Do Large Language Models Acquire Factual Knowledge During Pretraining? NIPS 2024
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning CVPR 2024
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration EMNLP 2024