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TopicsAI Reward Hacking Large language models Neural Network Weight Noise AI Control

In tested fine-tuned LLM model organisms, simple exploration hacking is detectable by monitors and weight noising.

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We find that chain-of-thought monitors, action-only monitors, and weight noising can detect our model organisms, suggesting that simple forms of exploration hacking are detectable.

Exploration Hacking: Can LLMs Learn to Resist RL Training?preprintextraction 0.85

Jang, Eyon et al. · arXiv.org · Apr 30, 2026 · original

Contributions list; detection evaluated on fine-tuned Qwen3-14B model organisms in BigCodeBench and WMDP settings, using gpt-5-mini monitors compared against smaller benign Qwen3 models.

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