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Vasil Georgiev

2 accepted papers

2025

Large language models can learn and generalize steganographic chain-of-thought under process supervision

NeurIPS 2025poster

Chain-of-thought (CoT) reasoning not only enhances large language model performance but also provides critical insights into decision-making processes, marking it as a useful tool for monitoring model intent and planning. By proactively preventing models from acting on CoT indicating misaligned or h…

Cited by 0SourceScholar
2024

Evidence of Learned Look-Ahead in a Chess-Playing Neural Network

NeurIPS 2024poster

Do neural networks learn to implement algorithms such as look-ahead or search "in the wild"? Or do they rely purely on collections of simple heuristics? We present evidence of *learned look-ahead* in the policy and value network of Leela Chess Zero, the currently strongest deep neural chess engine.…

Cited by 9SourcePDFScholar