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Forget brittle heuristics – NestedKV's multi-timescale anomaly detection and surprise-gated routing lets you compress KV caches far more aggressively without sacrificing long-context performance.
Text watermarks can now survive even aggressive paragraph-level paraphrasing, thanks to a new self-anchoring technique that breaks the robustness-quality tradeoff.
Q-Gate dynamically optimizes keyframe selection by intelligently routing attention based on query intent, outperforming traditional methods that struggle with modality noise.
Ground-truth labels don't improve LLM reasoning, but building a consensus-based knowledge graph of reasoning steps does, boosting accuracy by 10%+.
