| Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models | Apr 9, 2024 | Few-Shot LearningLanguage Modelling | CodeCode Available | 1 | 5 |
| Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models | Jun 27, 2024 | Continual LearningIncremental Learning | CodeCode Available | 1 | 5 |
| Are Large Pre-Trained Language Models Leaking Your Personal Information? | May 25, 2022 | Language ModellingMemorization | CodeCode Available | 1 | 5 |
| An Empirical Study of Memorization in NLP | Mar 23, 2022 | Memorization | CodeCode Available | 1 | 5 |
| Elephants Never Forget: Testing Language Models for Memorization of Tabular Data | Mar 11, 2024 | Language ModellingMemorization | CodeCode Available | 1 | 5 |
| Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution | Jun 3, 2021 | Abstractive Text SummarizationDecoder | CodeCode Available | 1 | 5 |
| Large Language Models Are Not Strong Abstract Reasoners | May 31, 2023 | Common Sense ReasoningMemorization | CodeCode Available | 1 | 5 |
| Large Loss Matters in Weakly Supervised Multi-Label Classification | Jun 8, 2022 | ClassificationMemorization | CodeCode Available | 1 | 5 |
| Do Language Models Plagiarize? | Mar 15, 2022 | Language ModellingMemorization | CodeCode Available | 1 | 5 |
| Towards Adversarial Evaluations for Inexact Machine Unlearning | Jan 17, 2022 | Machine UnlearningMemorization | CodeCode Available | 1 | 5 |
