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Shanghai Jiao Tong University
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Tailoring pretraining data processing to individual examples can lead to significant performance improvements in LLMs while cutting down on compute costs.
Context rot leads LLMs to falter under lengthy inputs, but targeted management and rejection strategies can restore their performance.
