Apple's SSR framework cuts multimodal agent reasoning latency over 90%
Read original source →machinelearning.apple.com
Selection-based Structured Reasoning reformulates agent reasoning as selection from pre-specified natural-language candidates rather than freeform generation. Tested on seven multimodal search benchmarks with 2B and 4B models, it cut per-turn reasoning latency by over 90% and total per-question inference latency by 28-54%.
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