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20172026
most citedDeep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks

6 citations · 10 across the 13 of their papers we have counts for

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cs.CL2025

Improving Diversity in Language Models: When Temperature Fails, Change the Loss

Alexandre Verine, Florian Le Bronnec, Kunhao Zheng +3

Increasing diversity in language models is a challenging yet essential objective. A common approach is to raise the decoding temperature. In this work, we investigate this approach…

cs.CL2024

Exploring Precision and Recall to assess the quality and diversity of LLMs

Florian Le Bronnec, Alexandre Verine, Benjamin Negrevergne +2

We introduce a novel evaluation framework for Large Language Models (LLMs) such as \textsc{Llama-2} and \textsc{Mistral}, focusing on importing Precision and Recall metrics from im…