compose-role-steering-vectors-per-query-instead-debating TEC-0105 · proposedCompose role steering vectors per query instead of debating
A learnable codebook of role steering vectors, warm-started from contrastive activation directions and fused by a query-aware top-K router, is added to the last prompt token's residual stream at the middle layer of a frozen LLM, trained by
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.
A learnable codebook of role steering vectors, warm-started from contrastive activation directions and fused by a query-aware top-K router, is added to the last prompt token's residual stream at the middle layer of a frozen LLM, trained by Filed by the drafting stage from One Model, Many Minds: Unlocking Multi-Agent Synergy in a Single Agent via Mixture of Roles (2608.27338) 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: Average accuracy and average rank over MMLU, TriviaQA, MATH, GSM8K, MedQA against vanilla, text-role, CAA, ActAdd, Prompt FT, Billy single-agent baselines and four MAS baselines, plus PersonalityBench scores; token counts compared; ablations on router, codebook and steering position.. 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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Sources
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