Taming Semantic Collapse in Continuous LLM Systems
Published:Dec 4, 2025 11:33
•1 min read
•ArXiv
Analysis
This article from ArXiv likely delves into the phenomenon of semantic drift and degradation within large language models operating in continuous, dynamic environments. The research probably proposes strategies or methodologies to mitigate this 'semantic collapse' and maintain LLM performance over time.
Key Takeaways
- •Addresses the problem of semantic drift/collapse in LLMs.
- •Focuses on continuous system applications of LLMs.
- •Likely proposes mitigation strategies or solutions.
Reference
“The article likely discusses semantic collapse in the context of continuous systems.”