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20222026
most citedSpeech-FT: Merging Pre-trained And Fine-Tuned Speech Representation Models For Cross-Task Generalization

3 citations · 3 across the 12 of their papers we have counts for

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cs.SD2026

How Contrastive Decoding Enhances Large Audio Language Models

Tzu-Quan Lin, Wei-Ping Huang, Yi-Cheng Lin +1

While Contrastive Decoding (CD) has been proposed to enhance Large Audio Language Models (LALMs), it has not been evaluated at scale, and the underlying mechanisms driving its succ…

cs.SD2023

Findings of the 2023 ML-SUPERB Challenge: Pre-Training and Evaluation over More Languages and Beyond

Jiatong Shi, William Chen, Dan Berrebbi +10

The 2023 Multilingual Speech Universal Performance Benchmark (ML-SUPERB) Challenge expands upon the acclaimed SUPERB framework, emphasizing self-supervised models in multilingual s…