arXiv (All)
open access
When Personality Meets Quantization: A Layer-wise MBTI Analysis of Quantized LLMs
Personality is increasingly important in large language models (LLMs), as it shapes users' trust, engagement, and emotional experiences. While the Myers--Briggs Type Indicator (MBTI) has emerged as a common framework for assessing LLMs' personality, existing studies focus primarily on full-precision
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Hierarchy of Personas: Investigating Variation in Synthetic LGBTQ-Related Survey Responses by Persona-Prompted Large Language Models#162959
- Qualia-Like States in Large Language Models: A Phenomenological Self-Report#704487
- Mental Representations Beyond Survey Responses: Evidence from Gendered Wording#648664
- Mental Representations Beyond Survey Responses: Evidence from Gendered Wording#646408
- Effects of psilocybin on personality, psychiatric symptoms, and values: Exploring mediating effects of the acute psychedelic experience.#323147
Record · ID 1011194
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive