SPIN Unprocessed July 30, 2026 ai_technology research
ForgetBench: Benchmarking Forgetting Dynamics of Long-Term Parametric Memory in Language Models
View original on arxiv.orgOverview
arXiv:2607.26455v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated strong capabilities in knowledge acquisition and reasoning, yet their ability to retain previously acquired knowledge under repeated updates remains insufficiently understood. Existing evaluation paradigms primarily focus on single-step reasoning or static knowledge editing, which fail to capture the temporal dynamics of knowledge retention and degradation during continual model modification. In this w
SpinGraph analysis pending — check back after processing.
Ask AI about this story
Opens with the SpinGraph .md URL and structured context — one click, prompt included.
More from arXiv Computation and Language
View all →- CMT-RAG: Complementary Memory Traces for Multi-turn Multi-hop RAG
- Mergeable Model-Side Aggregation States for Long-Context Language Models
- Voice Memory for Agentic Speech Recognition
- Knowledge before Reasoning: EC-Reason-Bench, a Training-Free Diagnostic Benchmark for LLM Enzyme Classification
- Misalignment Has a Personality: A Big Five Account of Emergent Misalignment
- (Im)Paired Programming: Coding Agents Improve Productivity but Harm Understanding
Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO