ENTITY Ruishan Guo

Ruishan Guo

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TOOL · CL_336423 · Nov 2 · 05:00

LLM Scaling Paradox: Larger models may reduce context fidelity

A new research paper titled "When Less is More: The LLM Scaling Paradox in Context Compression" explores a counterintuitive finding in large language model (LLM) scaling. The study reveals a "Size-Fidelity Paradox" wher…