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Robin Algayres

2 accepted papers

2025

LongTail-Swap: benchmarking language models’ abilities on rare words

EMNLP 2025

Children learn to speak with a low amount of data and can be taught new words on a few-shot basis, making them particularly data-efficient learners. The BabyLM challenge aims at exploring language model (LM) training in the low-data regime but uses metrics that concentrate on the head of the word di

2023

Do Coarser Units Benefit Cluster Prediction-Based Speech Pre-Training?

ICASSP 2023accepted

The research community has produced many successful self-supervised speech representation learning methods over the past few years. Discrete units have been utilized in various self-supervised learning frameworks, such as VQ-VAE [1], wav2vec 2.0 [2], Hu-BERT [3], and Wav2Seq [4]. This paper studies…

Cited by 0SourceScholar