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

arXiv:2608.24048 · cs.SD, cs.AI · Submitted 2026-08-25 · Read on arXiv

cs.SD, cs.AI

Submitted: 2026-08-25

Updated: 2026-08-25

Terminology

• RAG — 33× in this paper · explained in 3 episodes
• Accuracy — 19× in this paper · explained in 1 episode
• Verification — 13× in this paper · explained in 2 episodes
• Embeddings — 9× in this paper · explained in 2 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Core — 8× in this paper · explained in 2 episodes
• Action Space — 7× in this paper · explained in 1 episode
• Alignment — 6× in this paper · explained in 1 episode
• Benchmark — 6× in this paper · explained in 2 episodes
• Multi-hop Reasoning — 6× in this paper · explained in 3 episodes
• Ablation study — 5× in this paper · explained in 1 episode
• Cosine Similarity — 5× in this paper · explained in 3 episodes
• Ground Truth — 5× in this paper
• Grounding — 5× in this paper · explained in 3 episodes
• Hallucination — 5× in this paper · explained in 4 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Graph-based Retrieval-Generation Agent — 4× in this paper
• Retrieval-Augmented Generation — 4× in this paper
• Clustering — 3× in this paper · explained in 2 episodes
• Retrieval-Augmented Generation (RAG) — 3× in this paper · explained in 16 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Graceful Degradation — 2× in this paper · explained in 2 episodes
• Graph Construction — 2× in this paper · explained in 3 episodes
• In-Context Learning — 2× in this paper · explained in 4 episodes
• Reward Function — 2× in this paper · explained in 2 episodes
• Semantic Understanding — 2× in this paper · explained in 2 episodes
• Structural Reasoning — 2× in this paper · explained in 2 episodes
• Trace — 2× in this paper · explained in 2 episodes
• alpha — 2× in this paper · explained in 1 episode
• Agentic Framework — 1× in this paper · explained in 6 episodes
• Annotator Agreement — 1× in this paper · explained in 1 episode
• Causal Inference — 1× in this paper · explained in 4 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Diarization Error Rate — 1× in this paper
• Distillation — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Frustration — 1× in this paper · explained in 2 episodes
• Heterogeneous Graph — 1× in this paper · explained in 2 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• Inter-Annotator Agreement — 1× in this paper
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• LLM Integration — 1× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Long Context Lost in the Middle — 1× in this paper
• Mixture-of-Experts (MoE) — 1× in this paper · explained in 7 episodes
• Partially Observable Markov Decision Process — 1× in this paper
• Partially observable Markov decision process (POMDP) — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Temporal Reasoning — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes
• Word Error Rate — 1× in this paper

Sources

• M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
• ERes2NetV2: Boosting Short-Duration Speaker Verification Performance with Computational Efficiency
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• Insect Identification in the Wild: The AMI Dataset
• Kimi-Audio Technical Report
• DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speech
• Spoken SQuAD: A Study of Mitigating the Impact of Speech Recognition Errors on Listening Comprehension
• HeySQuAD: A Spoken Question Answering Dataset
• Qwen3-Omni Technical Report
• FireRedASR: Open-Source Industrial-Grade Mandarin Speech Recognition Models from Encoder-Decoder to LLM Integration
• gpt-oss-120b & gpt-oss-20b Model Card
• Robust Speech Recognition via Large-Scale Weak Supervision

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