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Preprint Sep 2026

TAG-Bench: Benchmarking Temporal Audio Grounding in Large Audio Language Models

Large audio language models (LALMs) can describe what is heard, but their ability to localize when queried content occurs remains less systematically evaluated. We present TAG-Bench, a benchmark for temporal audio grounding in which a model returns every time interval that matches a natural-language query. TAG-Bench co...

Yu-Hang Dai, Xin Shu, Zeng-Xi Li et al. · 0 citations
#natural language process... Preprint Sep 2026

Qwen-Audio-3.0-ASR Technical Report

In recent years, automatic speech recognition (ASR) has witnessed transformative advancements driven by three complementary paradigms: data scaling, model scaling, and deep integration with large language models (LLMs). However, bridging the gap between academic benchmark performance and real-world production utility r...

Chuan-Meng Bian, Da-Ren Chen, Pei-Xin Chen et al. · 2 citations

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