most citedMixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource

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cs.SD2026

ParaASR: Multi-Token Prediction for Fast and Long-Context LLM-Based Speech Recognition

Qingjian Lin, Yuxin Li, Haoyang Zhang +14

Audio-encoder-LLM-decoder architectures have become the dominant paradigm for modern automatic speech recognition (ASR), improving transcription quality through large-scale languag…

cs.SD2025

Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model

Ailin Huang, Bingxin Li, Bruce Wang +73

Large Audio-Language Models (LALMs) have significantly advanced intelligent human-computer interaction, yet their reliance on text-based outputs limits their ability to generate na…