knowledge memorization

Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection ACL 2026 Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models EMNLP 2025 Knowledge Boundary of Large Language Models: A Survey ACL 2025 Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning CVPR 2025 Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment ICLR 2025 On Large Language Model Continual Unlearning ICLR 2025 On the Consistency of Commonsense in Large Language Models ACL 2025 Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge ACL 2025 Towards Effective Evaluations and Comparisons for LLM Unlearning Methods ICLR 2025 Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning ICLR 2025 Analysing The Impact of Sequence Composition on Language Model Pre-Training ACL 2024 Evaluating Chinese Large Language Models on Discipline Knowledge Acquisition via Memorization and Robustness Assessment ACL 2024 Historical Test-time Prompt Tuning for Vision Foundation Models NeurIPS 2024 How Do Large Language Models Acquire Factual Knowledge During Pretraining? NeurIPS 2024 Knowledge Mechanisms in Large Language Models: A Survey and Perspective EMNLP 2024 Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NeurIPS 2024 Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models COLING 2024 Impact of Co-occurrence on Factual Knowledge of Large Language Models EMNLP 2023 Large Language Models Struggle to Learn Long-Tail Knowledge ICML 2023 Are Pretrained Language Models Symbolic Reasoners over Knowledge? CoNLL 2020