Papers with personality alignment

2 papers
Personality Editing for Language Models through Adjusting Self-Referential Queries (2026.eacl-long)

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Challenge: Large Language Models (LLMs) are integral to conversational agents and content creation, but they lack robustness and require large-scale training data to achieve significant improvements in personality alignment.
Approach: They propose a method that introduces adjustment queries where self-referential statements grounded in psychological constructs are treated analogously to factual knowledge to enable direct editing of personality-related responses.
Outcome: The proposed method improves personality alignment across personality dimensions and requires only 12 editing samples to achieve significant improvements.
MECoT: Markov Emotional Chain-of-Thought for Personality-Consistent Role-Playing (2025.findings-acl)

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Challenge: Existing Large Language Models struggle to maintain emotionally consistent and psychologically plausible character personalities.
Approach: They propose a framework that enhances LLMs’ ability to generate authentic personality-driven dialogues through stochastic emotional transitions.
Outcome: The proposed framework achieves 93.3% emotional accuracy on the RAPD dataset and significantly outperforms existing approaches.

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