mlsanityData to 14 Oct 2026

AI YOU Town: Make Friends and Money with Your Digital Twin

arXiv 2607.10539 ↗First posted 12 Jul 2026cs.AIcited by 0

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Abstract (arXiv)

Existing approaches to infer user traits and generate responses consistent with a persona rely on static prompting. They lack calibrated uncertainty, ignore sequential evidence, and drift during long interactions. We present AI YOU, a framework that continually updates a personality profile with 22 dimensions from conversation and embodies it in a personal digital twin. Practically, the system combines prompting, Bayesian updating, and conformal prediction for persona inference. A periodically refreshed memory anchor and cognitive memory with three layers preserve persona consistency over long interactions. Across the main results, AI YOU (i) achieves conformal coverage ranging from 0.921 to 0.976, (ii) improves uncertainty calibration and reasoning grounded in memory, and (iii) enhances persona fidelity over static prompting in role playing over 100 turns while reducing trait drift, for most evaluated backbones under adversarial settings with multiple agents. The prototype AI YOU Town initializes an imaginative twin world for future interaction. The online demo is available at hrefhttps://quinnnnnne-ai-you.hf.space/mboxtextttquinnnnnne-ai-you.hf.space.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 35 of its 59 references that are in the map. First posted on arXiv 12 Jul 2026.

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References · 35

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  11. 2023Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Modelscited by 207
  12. 2023Conformal Prediction with Large Language Models for Multi-Choice Question Answeringcited by 139
23 more
  1. 2024Hello Again! LLM-powered Personalized Agent for Long-term Dialoguecited by 123
  2. 2024Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignmentcited by 104
  3. 2019Personalizing Dialogue Agents via Meta-Learningcited by 83
  4. 2025LLM Generated Persona is a Promise with a Catchcited by 81
  5. 2024API Is Enough: Conformal Prediction for Large Language Models Without Logit-Accesscited by 69
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  8. 2024Conformal Prediction for Natural Language Processing: A Surveycited by 53
  9. 2020PANDORA Talks: Personality and Demographics on Redditcited by 40
  10. 2024Evaluating Cultural Adaptability of a Large Language Model via Simulation of Synthetic Personascited by 37
  11. 2023Have Large Language Models Developed a Personality?: Applicability of Self-Assessment Tests in Measuring Personality in LLMscited by 32
  12. 2024Examining Identity Drift in Conversations of LLM Agentscited by 25
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  17. 2025Persistent Personas? Role-Playing, Instruction Following, and Safety in Extended Interactionscited by 12
  18. 2026AdaMem: Adaptive User-Centric Memory for Long-Horizon Dialogue Agentscited by 11
  19. 2025From Prompts to Constructs: A Dual-Validity Framework for Large Language Model Research in Psychologycited by 9
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  22. 2025From Five Dimensions to Many: Large Language Models as Precise and Interpretable Psychological Profilerscited by 5
  23. 2025Probabilistic Digital Twins of Users: Latent Representation Learning with Statistically Validated Semanticscited by 1

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