Negative Log-Likelihoodとは？ Negative Log-Likelihood（負の対数尤度）は、統計学や機械学習でモデルの適合度を評価するためによく使用される指標です。特に、確率モデルがデータをどれだけうまく説明しているかを測るために利用されます。 Pythonで、Negative Log ...

Will the author share the code or provide some insights on how to conduct log-likelihood queries, which are typically used for benchmarks like MMLU? Specifically, does the author employ CFG in the ...

1 School of Psychology, University of Ottawa, Ottawa, ON, Canada 2 Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada Understanding how functional connectivity between ...

Supervised fine-tuning (SFT) is the standard post-training approach for large language models (LLMs), but its default objective — Negative Log-Likelihood (NLL) — is not universally optimal. While NLL ...

Abstract: Correlated noise can impair the performance of a digital receiver and pose challenges for the error-correction decoder. In this paper, noise correlation is utilized constructively in the ...