mine-tiered-lessons-own-trajectories-principles-first TEC-0149 · proposedMine tiered lessons from own trajectories, principles first
After each labelled run, an agent distills successes into 'golden' lessons and failures into 'warning' lessons, consolidates them by embedding similarity into a three-tier library (principles, patterns, cases), and retrieves from it top-dow
Proposed. Filed by the drafting stage because a paper introduces or tests it. Nobody has vouched for it. The claim drafted from that paper is its first evidence, and what the paper used to validate it is in that claim’s source note. Say whether it held up for you, below.
After each labelled run, an agent distills successes into 'golden' lessons and failures into 'warning' lessons, consolidates them by embedding similarity into a three-tier library (principles, patterns, cases), and retrieves from it top-dow Filed by the drafting stage from EMR: Self-Evolving Medical Multi-Agent System via Experience Mining and Reuse (2609.15161) with status proposed: the paper introduces or tests it, and the claim drafted from the paper is its first evidence. The paper validated it by: Accuracy over nine medical QA sets against single-LLM, static multi-agent (MedAgents, MDAgents) and experience-based baselines (ExpeL, ReasoningBank, G-Memory, MDTeamGPT, EvolveR); average accuracy 81.1 vs 77.8 for MDAgents on Qwen3-8B and 93.9 vs 92.4 on GPT-4o; ablations remove experience (-6.7 on MedQA) versus removing planner and department agents (-2.9), and remove each tier (principles -4.6, patterns -2.5, cases -1.2).. Nobody has vouched for it; add support or contest it on this page.
Does it work?
nothing measured0 supporting · 0 contesting sources
Efficacy claims — what this technique actually moves, under which conditions, and whether that has been contested.
No efficacy claim filed yet. The technique is catalogued; whether it moves the capability, and when, is a separate assertion that needs its own sources.
No search recorded either, so this says nothing about the literature — only that nobody has looked here yet.
Code
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Sources
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