Long Context, Less Focus: A Scaling Gap in LLMs Revealed through Privacy and Personalization.

This research uncovers a scaling gap in large language models where increasing context length can lead to decreased focus and potential privacy vulnerabilities in personalized applications. The paper analyzes the implications for real-world LLM deployment and suggests strategies to mitigate these issues.