A learned residual accounting method with retrieved-token subtraction improves over pure Top-K selection at 1% exact-support budgets on long-context benchmarks for frozen Llama models.
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Residual-Mass Accounting for Partial-KV Decoding
A learned residual accounting method with retrieved-token subtraction improves over pure Top-K selection at 1% exact-support budgets on long-context benchmarks for frozen Llama models.