Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning
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2509.23873
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王一
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Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token
Pruning for Efficient Supervised Fine-Tuning
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Rethinking LLM Evaluation: Can We Evaluate LLMs with 200x Less Data?
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