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Ashish Seth

ACL 2026×2CVPR 2026多模态评测与基准对齐与偏好数据与预训练
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1 一作 · 3 篇 · ACL 2026 / CVPR 2026

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2026 顶会论文

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作者位次 #2/5ACL 2026Poster· Natural Language Processing

FIGMA : Towards FI ne-Grained Music retriev A l

Nishit Anand · Ashish Seth · Sreyan Ghosh · Dinesh Manocha · Ramani Duraiswami

摘要

Retrieving music using natural language descriptions has improved with contrastive audio–text models such as CLAP, but current systems remain limited to coarse semantic queries. When descriptions specify fine-grained musical attributes such as tempo, key, chord progression, or rhythmic structure,...

多模态评测与基准对齐与偏好OpenReview 项目页
作者位次 #5/8ACL 2026Findings· Findings of ACL

P oly A udio: Advancing Multi-Audio Reasoning in Large Audio Language Models with Interleaved Multi-Audio Contexts

Sonal Kumar · Sreyan Ghosh · Yueqian Lin · S Sakshi · Ashish Seth · Yiran Chen · Ramani Duraiswami · Dinesh Manocha

摘要

Large Audio Language Models have shown impressive performance on single-clip audio language tasks such as automatic speech recognition, captioning, and sound event recognition. Yet, their ability to reason over interleaved multi-audio contexts-where answering a query requires relating information...

多模态评测与基准数据与预训练OpenReview 项目页

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