2 papers
eess.AS2026
RefTAG: Reflection-aware Temporal Audio Grounding in Large Audio Language Models
Yuhang Dai, Xin Shu, Zhennan Lin +5
Temporal audio grounding requires locating every occurrence of a queried target, making both occurrence counts and interval boundaries essential. We propose RefTAG, a post-training…
eess.AS2026
TAG-Bench: Benchmarking Temporal Audio Grounding in Large Audio Language Models
Yuhang Dai, Xin Shu, Zengxi Li +3
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-Benc…