conftrace_

knowledge preservation

26 papers

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Co-occurring keywords

large language model (13587) transfer learning (5449) language model (4599) continual learning (1181) catastrophic forgetting (958) knowledge editing (295) model compression (3302) parameter-efficient fine-tuning (736) prompt tuning (391) sequential editing (15)

Papers

Editing Is a Bargaining Game: Balanced Knowledge Editing in Large Language Models AAAI 2026
Safe Vision-Language Models via Unsafe Weights Manipulation WACV 2026
Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation WACV 2026
LoKI: Low-Damage Knowledge Implanting of Large Language Models AAAI 2026
LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing EMNLP 2025
ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing AAAI 2025
Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning ICCV 2025
GeoEdit: Geometric Knowledge Editing for Large Language Models EMNLP 2025
Propulsion: Steering LLM with Tiny Fine-Tuning COLING 2025
Task-Agnostic Guided Feature Expansion for Class-Incremental Learning CVPR 2025
HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model ACL 2025
Constraining Sequential Model Editing with Editing Anchor Compression NAACL 2025
Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning ICCV 2025
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models ACL 2025
Knowledge-Preserving Pluggable Modules for Multilingual Speech Translation Tasks INTERSPEECH 2024
Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging EMNLP 2024
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging EMNLP 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning NIPS 2024
Self-regulating Prompts: Foundational Model Adaptation without Forgetting ICCV 2023
Cross-lingual Continual Learning ACL 2023
The Cost of Compression: Investigating the Impact of Compression on Parametric Knowledge in Language Models EMNLP 2023
Adapting a Language Model While Preserving its General Knowledge EMNLP 2022
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks ICML 2022
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression AAAI 2022
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking IJCNLP 2021