Research map / Large language models / Instruction and fine-tuning
Persona Features Control Emergent Misalignment
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Persona-Model Collapse in Emergent Misalignment (NeurIPS 2026 · similarity 0.91)
- Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs (ICML 2025 · similarity 0.89)
- Fundamental Limitations of Alignment in Large Language Models (ICML 2024 · similarity 0.87)
- Who's asking? User personas and the mechanics of latent misalignment (NeurIPS 2024 · similarity 0.87)
- Persona Vectors: Monitoring and Controlling Character Traits in Language Models (NeurIPS 2026 · similarity 0.86)
- Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization (ICLR 2025 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.