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Exploring Precision and Recall to assess the quality and diversity of LLMs
This paper introduces a novel evaluation framework for Large Language Models (LLMs) such as Llama-2 and Mistral, focusing on the …
Alexandre Vérine, Florian Le Bronnec, Benjamin Negrevergne, Yann Chevaleyre, Alexandre Allauzen
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Exploring Precision and Recall to assess the quality and diversity of LLMs
Optimal Budgeted Rejection Sampling for Generative Models
Rejection sampling methods have recently been proposed to improve the performance of discriminator-based generative models. However, …
Alexandre Vérine, Muni Sreenivas Pydi, Benjamin Negrevergne, Yann Chevaleyre
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Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows
Achieving a balance between image quality (precision) and diversity (recall) is a significant challenge in the domain of generative …
Alexandre Vérine, Benjamin Negrevergne, Muni Sreenivas Pydi, Yann Chevaleyre
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On the expressivity of bi-Lipschitz normalizing flows
An invertible function is bi-Lipschitz if both the function and its inverse have bounded Lipschitz constants. Most state-of-the-art …
Alexandre Vérine, Benjamin Negrevergne, Fabrice Rossi, Yann Chevaleyre
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On the expressivity of bi-Lipschitz normalizing flows
An invertible function is bi-Lipschitz if both the function and its inverse have bounded Lipschitz constants. Nowadays, most …
Alexandre Vérine, Benjamin Negrevergne, Fabrice Rossi, Yann Chevaleyre
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