most citedWe Need to Talk About Classification Evaluation Metrics in NLP

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cs.CL2026

Reinforcement Learning for Data-Efficient Code-Switched ASR

Ziwei Ye, Peter Vickers

Audio-language models can be prompted for code-switched speech, but their decoding is not optimized for code-switching and often fails at language boundaries. We propose a practica…

cs.CL2024★ 1 cited

We Need to Talk About Classification Evaluation Metrics in NLP

Peter Vickers, Loïc Barrault, Emilio Monti +1

In Natural Language Processing (NLP) classification tasks such as topic categorisation and sentiment analysis, model generalizability is generally measured with standard metrics su…