The phenomenon where a machine learning model loses previously learned information upon learning new information, particularly in neural networks and language models
| Name | Categories | Topics | References | Credibility | CreateDate | UpdateDate | Title | RelatedNotes | NavigationOrder | Eleventy | TemplateEngineOverride | Created |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 20260430_catastrophic_forgetting_implicit_inference | paper_analysis | catastrophic_forgetting, llm, memory_mechanism, reasoning, context_engineering | cmu, conjugate_prompting | 100 | Understanding Catastrophic Forgetting in Language Models via Implicit Inference | [object Object] | [object Object] | md | ||||
| 20260512_learning_fast_slow_llms_adapt_continually | paper_analysis | catastrophic_forgetting, continual_learning, memory_mechanism, reinforce_learning, llm | uc_berkeley | 100 | Learning, Fast and Slow: Towards LLMs That Adapt Continually | 20260504_reasoningbank_scaling_agent_self_evolving_reasoning_memory, 20260511_rl_long_horizon_reasoning_llm_expressiveness | [object Object] | [object Object] | md |