用荣格认知功能做激活引导：面向联合人格目标的新框架与 NarrationDB

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Abstract:Controlling combinations of personality-related tendencies is important for adapting large language models to diverse interaction needs. But successful single-trait steering does not establish how to construct interventions for joint targets, or whether existing trait directions adequately represent them. We introduce a target-first framework that directly extracts steering directions from joint personality targets and then examines their decomposition into individual directions. To support this framework, we construct NarrationDB, linking character self-narrations to automatically evaluated joint scores across eight Jungian-inspired functions, a correspondence not directly available in existing Big Five- or MBTI-oriented resources. Experiments on three models demonstrate questionnaire-score controllability across the eight functions and coordinated changes in a tested two-function target. Directly extracted joint directions are better approximated by their corresponding individual directions than by unrelated pairings, but retain substantial residual components. Our work provides a method and resource for investigating joint personality control, with evidence that individual steering directions capture part, but not all, of the structure of joint targets.

Comments:	16 pages, 9 figures
Subjects:	Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
Cite as:	arXiv:2607.20803 [cs.CL]
	(or arXiv:2607.20803v3 [cs.CL] for this version)
	https://doi.org/10.48550/arXiv.2607.20803 arXiv-issued DOI via DataCite

Submission history

From: Zai Liu [view email]
[v1] Thu, 23 Jul 2026 00:18:39 UTC (334 KB)
[v2] Fri, 24 Jul 2026 14:33:17 UTC (1 KB) (withdrawn)
[v3] Tue, 13 Oct 2026 12:02:48 UTC (874 KB)