Correct, Don't Delete: Mitigating Emergent Misalignment with Corrective Supervision
cs.CL, cs.AI, cs.LG
Submitted: 2026-09-29
Updated: 2026-09-29
Terminology
Sources
- Persona Vectors: Monitoring and Controlling Character Traits in Language Models
- Conditional misalignment: common interventions can hide emergent misalignment behind contextual triggers
- Gemma 4 Technical Report
- Studying Large Language Model Generalization with Influence Functions
- Measuring Massive Multitask Language Understanding
- LoRA: Low-Rank Adaptation of Large Language Models
- In-Training Defenses against Emergent Misalignment in Language Models
- A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA
- Bayesian Influence Functions for Hessian-Free Data Attribution
- Natural Emergent Misalignment from Reward Hacking in Production RL
- Safety Pretraining: Toward the Next Generation of Safe AI
- TAME: Token Attribution and Masking for Emergent misalignment
- Emergent Misalignment Recruits a Pre-existing Persona Subspace
- How Much of Your Data Can Suck? Thresholds for Domain Performance and Emergent Misalignment in LLMs
- Qwen2.5 Technical Report
- An Emergent Mirage: Is Emergent Misalignment and Realignment Indeed a Robust Phenomenon?
- Convergent Linear Representations of Emergent Misalignment
- Emergent Misalignment is Easy, Narrow Misalignment is Hard
- Self-Recognition Finetuning can Prevent and Reverse Emergent Misalignment
- Inoculation Prompting: Eliciting traits from LLMs during training can suppress them at test-time
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