Solving the ‘Lost-in-the-Middle’ Problem in Large Language Models: A Breakthrough in Attention Calibration

Despite the significant advancement in large language models (LLMs), LLMs often need help with long contexts, especially where information is spread across the complete text. LLMs can now handle long stretches of text as input, but they still face the “lost in the middle” problem. The ability of LLMs to accurately find and use information […]

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