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[r/ML] [R] Internal transformer signals predict generation correctness: a 14,540-trace empirical study across 4 models and 2 benchmarks

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Summary

This empirical study investigates whether internal transformer signals can predict the correctness of generated outputs. Researchers analyzed 14,540 traces across four large language models (Llama-3.1, Qwen-2.5, Mistral, Mixtral) and two benchmarks (GSM8K, HumanEval), generating multiple outputs per prompt at varying temperatures for evaluation. The findings could lead to improved methods for self-correction and reliability assessment in AI models.

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