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20242026
most citedSpeech-FT: Merging Pre-trained And Fine-Tuned Speech Representation Models For Cross-Task Generalization

3 citations · 3 across the 6 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 proven effective at enhancing Large Audio Language Models (LALMs), the underlying mechanisms driving its success and the comparative efficacy of…

cs.SD2025

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…