Decoupling Logic from Persona: Structural Immunity of Edge LLM Agents to Context Pollution
cs.CL, cs.AI
Submitted: 2026-10-07
Updated: 2026-10-09
Comments: 28 pages, 3 figures. Experiment code, scoring rubric, pollution fixtures, adapters and run logs are released (see Appendix G)
Code: https://github.com/ml-explore/mlx
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- A General Language Assistant as a Laboratory for Alignment
- The Llama 3 Herd of Models
- Gemma 3 Technical Report
- LLMs Get Lost In Multi-Turn Conversation
- Character-LLM: A Trainable Agent for Role-Playing
- Towards Understanding Sycophancy in Language Models
- Efficient Guided Generation for Large Language Models
Related papers
- Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
- Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
- Subliminal Steering: Stronger Encoding of Hidden Signals
- MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
- The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
- Untangling the Mechanisms of Misleading Context in Medical Question Answering