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    <abstract>Long-form audio meeting understanding (LAMU) is gaining attention, but dedicated question answering (QA) datasets are lacking. Previous tailored speech QA and existing Speech LLMs suffer from acoustic information loss and poor long-term dependency capture. We construct the LongAudioQA dataset and propose the GRGA model, which models heterogeneous audio features into a multi-dimensional graph and leverages agent planning for retrieval and answer generation, effectively addressing existing limitations.</abstract>
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%0 Conference Proceedings
%T Don’t Just Listen, Try Planning: Graph-based Retrieval-Generation Agent for Long-form Audio Meeting Understanding
%A Tang, Quanwei
%A Zhang, Dong
%A Li, Shoushan
%A Zhou, Guodong
%Y Liakata, Maria
%Y Moreira, Viviane P.
%Y Zhang, Jiajun
%Y Jurgens, David
%S Findings of the Association for Computational Linguistics: ACL 2026
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, United States
%@ 979-8-89176-395-1
%F tang-etal-2026-dont
%X Long-form audio meeting understanding (LAMU) is gaining attention, but dedicated question answering (QA) datasets are lacking. Previous tailored speech QA and existing Speech LLMs suffer from acoustic information loss and poor long-term dependency capture. We construct the LongAudioQA dataset and propose the GRGA model, which models heterogeneous audio features into a multi-dimensional graph and leverages agent planning for retrieval and answer generation, effectively addressing existing limitations.
%R 10.18653/v1/2026.findings-acl.1038
%U https://aclanthology.org/2026.findings-acl.1038/
%U https://doi.org/10.18653/v1/2026.findings-acl.1038
%P 20715-20742

Markdown (Informal)

[Don’t Just Listen, Try Planning: Graph-based Retrieval-Generation Agent for Long-form Audio Meeting Understanding](https://aclanthology.org/2026.findings-acl.1038/) (Tang et al., Findings 2026)

• Don’t Just Listen, Try Planning: Graph-based Retrieval-Generation Agent for Long-form Audio Meeting Understanding (Tang et al., Findings 2026)

ACL

• Quanwei Tang, Dong Zhang, Shoushan Li, and Guodong Zhou. 2026. Don’t Just Listen, Try Planning: Graph-based Retrieval-Generation Agent for Long-form Audio Meeting Understanding. In Findings of the Association for Computational Linguistics: ACL 2026, pages 20715–20742, San Diego, California, United States. Association for Computational Linguistics.