Algorithm Deep-Dive

Algorithm Deep-Dive

Algorithm Deep-Dive: RMM — TopK Column-Norm Slicing: Formulas, 1B–70B Results, and the Attention/MLP Asymmetry

RMM full breakdown: contraction-dim TopK column-norm selection, minimax optimality proof, retention-ratio knob; 8 benchmarks × 4 retention levels, attention vs MLP asymmetry data, A100 end-to-end 1.40× speedup.

Algorithm Deep-Dive

Algorithm Deep-Dive: SkillForge — Synthesize Issues in 4 Steps, Distill a Dual-Layer Skill Library, +5.8% on SWE-bench

SkillForge full breakdown: strict-mask 4-step issue synthesis, dual-layer entity-grounded skills (diagnostic + intervention), BM25+JIT two-phase retrieval; SWE-bench Verified 72.2% (+5.8%), Pro 34.1% (+5.8%).