Unverified50% confidenceFactExact time
In this learning framework, the SLM serves as the membership oracle and labeled data serves as the equivalence oracle.
1
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50%
Confidence
Long-term
Relevance
9/30/2026
First Seen
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Unverified小尺寸模型（SLM）通常将参数量控制在70亿至200亿之间，通过知识蒸馏、量化和强化学习对齐等技术在压缩参数量的前提下保持能力73% similarVerifiedSmall Language Models (SLMs) generally refer to models with parameter counts between 1B and 7B.70% similarVerifiedThe MTP (Multi-Token Prediction) auxiliary training objective allows the model to be used with speculative decoding during inference to improve throughput70% similarUnverifiedIntroducing an additional SLM model brings extra inference cost and latency, and the net benefit needs to be verified under real workloads.69% similarUnverifiedA Service Level Objective (SLO) is a quantified commitment to service quality, which in LLM inference scenarios typically encompasses both latency and availability dimensions.69% similar
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