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ENTITY Lost in the Middle: How Language Models Use Long Contexts

Lost in the Middle: How Language Models Use Long Contexts

PulseAugur coverage of Lost in the Middle: How Language Models Use Long Contexts — every cluster mentioning Lost in the Middle: How Language Models Use Long Contexts across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_73221 ·

    GPT-3.5-Turbo struggles with information in the middle of long prompts

    A study found that GPT-3.5-Turbo's accuracy significantly drops when the answer is located in the middle of a long prompt, specifically a 20k-token context window. This phenomenon, documented in the paper "Lost in the M…