Multi-Turn Agentic Context Decay & State Pollution: Benchmarking 18,432-D Poincaré Memory vs Gemini 3.5 & Gemma-4
Multi-Turn Agentic Context Decay & State Pollution: Benchmarking 18,432-D Poincaré Memory vs Gemini 3.5 & Gemma-4 A 100% empirical, open-source model evaluation benchmark measuring multi-turn context retention , parameter recall accuracy , state pollution (cross-turn parameter bleed) , and end-to-e…
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- 2026-10-09 18:32 · DEV Community — Machine Learning
Multi-Turn Agentic Context Decay & State Pollution: Benchmarking 18,432-D Poincaré Memory vs Gemini 3.5 & Gemma-4
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