arXiv (All)
open access
PRISM: Recovering Instruction Sets from Language Model Activations
As LLMs are deployed as agents, reliable monitoring requires knowing not only what they output, but which instructions are steering their behavior. This is difficult when models infer unintended subgoals, follow contextual cues, or are influenced by prompt injections and hidden objectives. While act
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
- Mitigating LLM Over-Refusal via Dynamic Semantic Routing Calibratione#1051542
- Combating Instruction Conflict via Energy-Driven Latent Conflict Detection#985980
- Role-aware Heuristic Episodic Attention for Conversational LLMs#1155893
- ReLiveGym: Evaluating Long-Lived Agents over Weeks of Replayed Reality#1155645
- Epistemic Policy Divergence in Multi-Turn LLM Contamination: A Protocol-Gradient Investigation#1129900
Record · ID 1117460
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