3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CL2026
Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models
Netanel Eliav
Practitioners make three prompt-design decisions with almost no controlled evidence behind them: how to format instructions and context (markdown, plain text, prose, or tabular), h…
cs.CL2026★ 3 cited
The Cognitive Divergence: AI Context Windows, Human Attention Decline, and the Delegation Feedback Loop
Netanel Eliav
This paper documents and theorises a self-reinforcing dynamic between two measurable trends: the exponential expansion of large language model (LLM) context windows and the secular…