When Does Continual Learning Require Learning
arxiv:2607.07847
Post-training · 2026-07-08
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Contents
- When Does Continual Learning Require Learning
- Abstract
- 1 Introduction
- 2 Related Works
- 3 Method
- 3.1 A Protocol for Continual Learning
- 3.2 Update Methods
- 4 Experiments
- 4.1 Domain Transfer
- 4.2 Catastrophic Memorizing: Update Truly New Knowledge
- 4.3 Noisy Temporal Drift
- 4.4 Agentic Task
- 5 Discussion
- 5.1 Conclusion
- 5.2 Limitations and Challenges
- Acknowledgement
- Appendix A Additional Experimental Details
- A.1 Compute and Hyperparameters
- A.2 Task Settings
- A.2.1 Domain shift
- In-place TTT configuration.
- A.2.2 TempWiki Benchmark Details
- A.2.3 TempWiki-Easy: a filtered, continuously-scored variant
- A.2.4 Temporal Drift
- A.2.5 Agentic.
- Update-mechanism hyperparameters.
- Suite construction.
- Verification.
- Agent harness.
- Zero-shot models.
- Appendix B Broader Impact
- Instructions for reporting errors