arXiv (All)
open access
Emergent Unfaithfulness: How Alignment Training Causes Language Models to Silently Override Task Faithfulness
Large language models are characterized by three key properties: capability, alignment, and faithfulness. Prior work studies the tradeoffs between capability and alignment, and between capability and faithfulness, but a third tension remains underexplored: the alignment-faithfulness conflict. We sho
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
- Aligned but Flattened: Analyzing the Trade-off between Cultural Alignment and Diversity in LLMs#820004
- Does This Action Still Explain the Task? Reverse Scoring for Diffusion Language Model Agents#1143137
- Large language models capture universal relationship knowledge but compress cultural variation#276560
- One Geometry, Different Outcomes: Readout-Dependent Effects of the Modality Gap in Vision-Language Models#1130943
- Asymptotic Universal Alignment: A New Alignment Framework via Test-Time Scaling#1141471
Record · ID 1155503
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