arXiv (All)
open access
Probing Persona-Dependent Preferences in Language Models
Large language models (LLMs) can be said to have preferences: they reliably pick certain tasks and outputs over others, and preferences shaped by post-training and prompting appear to influence much of their behaviour. But models can also adopt different personas which have radically different prefe
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
- How Far Do Persona Effects Generalize in Language Models?#1117089
- Self-reported archetypes and behavioral failures in Large Language Models#1110396
- LLM Agents as Static Level-k Players in Behavioural Games#1012249
- A closer look at how large language models trust humans: patterns and biases#144276
- Deep and shallow biases in language models#996714
Record · ID 1155199
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