distill-teacher-trajectories-into-workflow-subtask-function-memory TEC-0255 · proposedDistill teacher trajectories into workflow, subtask and func
Builds three memory banks from a large teacher's successful trajectories — a prose workflow insight, code-bearing subtask segments, and per-function call examples — injecting the first two into the student's system prompt and retrieving the
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.
Builds three memory banks from a large teacher's successful trajectories — a prose workflow insight, code-bearing subtask segments, and per-function call examples — injecting the first two into the student's system prompt and retrieving the Filed by the drafting stage from Agent Memory Distillation: Empowering Small LLM Agents with Hierarchical Teacher Memory (2608.07169) 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 on AppWorld (168 tasks), BFCL V3 multi-turn base (200), ToolSandbox base (129) against zero-shot and three memory baselines (ReasoningBank, MemP, SASM), two runs averaged; gains +27.2/+11.2/+3.4 points averaged over four students, with ablation showing subtask memory adds e.g. +25.0 points over workflow alone for Qwen3-4B on AppWorld, and student-generated memory near zero-shot.. 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.
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Code
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Sources
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