AI RESEARCH
Benchmarking LLMs on the Massive Sound Embedding Benchmark (MSEB)
arXiv CS.LG
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ArXi:2605.04556v1 Announce Type: cross The Massive Sound Embedding Benchmark (MSEB) has emerged as a standard for evaluating the functional breadth of audio models. While initial baselines focused on specialized encoders, the shift toward "audio-native" Large Language Models (LLMs) suggests a new paradigm where a single multimodal backbone may replace complex, task-specific pipelines.