mlsanityData to 14 Oct 2026

Don't Just Listen, Try Planning: Graph-based Retrieval-Generation Agent for Long-form Audio Meeting Understanding

arXiv 2608.24048 ↗First posted 25 Aug 2026cs.SD cs.AIcited by 0

On the map: LLM agents and tool use → Agent memory systems

Abstract (arXiv)

While long-form audio meeting understanding (LAMU) is garnering growing attention, task-specific question answering (QA) datasets remain scarce. Existing speech QA paradigms and state-of-the-art Speech LLMs suffer from acoustic information loss and poor long-term context memory. To address these issues, 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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Agent memory systems, one of 16 directions in LLM agents and tool use. Builds on 20 of its 31 references that are in the map. First posted on arXiv 25 Aug 2026.

Builds on

20 of 31 references.

References · 20

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  2. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,695
  3. 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,182
  4. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 4,057
  5. 2022Partially Observable Markov Decision Processes in Robotics: A Surveycited by 86
  6. 2018Spoken SQuAD: A Study of Mitigating the Impact of Speech Recognition Errors on Listening Comprehensioncited by 74
  7. 2021M2MeT: The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challengecited by 71
  8. 2022DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speechcited by 69
  9. 2025MiMo-Audio: Audio Language Models are Few-Shot Learnerscited by 65
  10. 2025FireRedASR: Open-Source Industrial-Grade Mandarin Speech Recognition Models from Encoder-Decoder to LLM Integrationcited by 46
  11. 2022End-to-end Spoken Conversational Question Answering: Task, Dataset and Modelcited by 37
  12. 2023A Comprehensive Evaluation of Large Language Models on Legal Judgment Predictioncited by 28
8 more
  1. 2024Retrieval Augmented End-to-End Spoken Dialog Modelscited by 20
  2. 2024ERes2NetV2: Boosting Short-Duration Speaker Verification Performance with Computational Efficiencycited by 18
  3. 2023HeySQuAD: A Spoken Question Answering Datasetcited by 16
  4. 2024SpeechDPR: End-to-End Spoken Passage Retrieval for Open-Domain Spoken Question Answeringcited by 12
  5. 2022Summary On The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Grand Challengecited by 11
  6. 2025Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoningcited by 9
  7. 2025A Comprehensive Graph Framework for Question Answering with Mode-Seeking Preference Alignmentcited by 5
  8. 2024CLASP: Contrastive Language-Speech Pretraining for Multilingual Multimodal Information Retrievalcited by 2

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  1. 2026PlanRAG-Audio: Planning and Retrieval Augmented Generation for Long-form Audio Understanding
  2. 2026AudioRAG: A Challenging Benchmark for Audio Reasoning and Information Retrieval
  3. 2024Enhancing Temporal Understanding in Audio Question Answering for Large Audio Language Models
  4. 2024Audiopedia: Audio QA with Knowledge
  5. 2025Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities
  6. 2025VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models
  7. 2025Multi-Domain Audio Question Answering Benchmark Toward Acoustic Content Reasoning
  8. 2026G-Long: Graph-Enhanced Memory Management for Efficient Long-Term Dialogue Agents