Language Models Are "Insecure" Reporters
cs.CL, cs.AI
Submitted: 2026-09-28
Updated: 2026-09-28
Terminology
Sources
- CoT Red-Handed: Stress Testing Chain-of-Thought Monitoring
- Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation
- Demonstrating specification gaming in reasoning models
- Persona Vectors: Monitoring and Controlling Character Traits in Language Models
- BeHonest: Benchmarking Honesty in Large Language Models
- Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models
- Reinforcement Learning Towards Broadly and Persistently Beneficial Models
- Training LLMs for Honesty via Confessions
- Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
- SHADE-Arena: Evaluating Sabotage and Monitoring in LLM Agents
- Frontier Models are Capable of In-context Scheming
- The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models
- The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems
- Model Forensics: Investigating Whether Concerning Behavior Reflects Misalignment
- Steering Language Models With Activation Engineering
- Persuasion Attacks Can Decrease Effectiveness of CoT Monitoring
- Representation Engineering: A Top-Down Approach to AI Transparency
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