mlsanityData to 14 Oct 2026

Generate, Analyze, and Refine: Training-Free Sound Source Localization via MLLM Meta-Reasoning

arXiv 2604.06824 ↗First posted 8 Apr 2026cs.CVcited by 0

On the map: LLM reasoning → Audio-language model reasoning

Abstract (arXiv)

Sound source localization task aims to identify the locations of sound-emitting objects by leveraging correlations between audio and visual modalities. Most existing SSL methods rely on contrastive learning-based feature matching, but lack explicit reasoning and verification, limiting their effectiveness in complex acoustic scenes. Inspired by human meta-cognitive processes, we propose a training-free SSL framework that exploits the intrinsic reasoning capabilities of Multimodal Large Language Models (MLLMs). Our Generation-Analysis-Refinement (GAR) pipeline consists of three stages: Generation produces initial bounding boxes and audio classifications; Analysis quantifies Audio-Visual Consistency via open-set role tagging and anchor voting; and Refinement applies adaptive gating to prevent unnecessary adjustments. Extensive experiments on single-source and multi-source benchmarks demonstrate competitive performance. The source code is available at https://github.com/VisualAIKHU/GAR-SSL.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Audio-language model reasoning, one of 17 directions in LLM reasoning. Builds on 44 of its 51 references that are in the map. First posted on arXiv 8 Apr 2026.

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44 of 51 references.

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  1. 2025Qwen2.5-Omni Technical Report26 Mar

Other references · 43

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2024GPT-4o System Cardcited by 4,588
  3. 2022Flamingo: a Visual Language Model for Few-Shot Learningcited by 4,386
  4. 2023A Survey on Multimodal Large Language Modelscited by 909
  5. 2023Multimodal Chain-of-Thought Reasoning in Language Modelscited by 752
  6. 2020VGGSound: A Large-scale Audio-Visual Datasetcited by 648
  7. 2018Audio-Visual Scene Analysis with Self-Supervised Multisensory Featurescited by 335
  8. 2018The Sound of Pixelscited by 259
  9. 2017Objects that Soundcited by 256
  10. 2022MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generationcited by 227
  11. 2023Multimodal Large Language Models: A Surveycited by 195
  12. 2018Learning to Localize Sound Source in Visual Scenescited by 189
31 more
  1. 2025MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipecited by 186
  2. 2021Localizing Visual Sounds the Hard Waycited by 170
  3. 2020Multiple Sound Sources Localization from Coarse to Finecited by 118
  4. 2020Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matchingcited by 104
  5. 2022Localizing Visual Sounds the Easy Waycited by 82
  6. 2022A Closer Look at Weakly-Supervised Audio-Visual Source Localizationcited by 73
  7. 2025LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal Understandingcited by 59
  8. 2023Large Language Models are Visual Reasoning Coordinatorscited by 58
  9. 2022Mix and Localize: Localizing Sound Sources in Mixturescited by 54
  10. 2023Audio-Visual Grouping Network for Sound Localization from Mixturescited by 52
  11. 2023Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learningcited by 47
  12. 2022Exploiting Transformation Invariance and Equivariance for Self-supervised Sound Localisationcited by 44
  13. 2022Learning Sound Localization Better From Semantically Similar Samplescited by 32
  14. 2022Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenescited by 31
  15. 2025InteractiveOmni: A Unified Omni-modal Model for Audio-Visual Multi-turn Dialoguecited by 29
  16. 2021Unsupervised Sound Localization via Iterative Contrastive Learningcited by 28
  17. 2024Towards Open-Vocabulary Audio-Visual Event Localizationcited by 26
  18. 2024T-VSL: Text-Guided Visual Sound Source Localization in Mixturescited by 19
  19. 2022Hear The Flow: Optical Flow-Based Self-Supervised Visual Sound Source Localizationcited by 14
  20. 2024Learning to Visually Localize Sound Sources from Mixtures without Prior Source Knowledgecited by 14
  21. 2025MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGIcited by 14
  22. 2025Corvid: Improving Multimodal Large Language Models Towards Chain-of-Thought Reasoningcited by 11
  23. 2025Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identificationcited by 9
  24. 2025ReasoningTrack: Chain-of-Thought Reasoning for Long-term Vision-Language Trackingcited by 9
  25. 2024Sim2Real Transfer for Audio-Visual Navigation with Frequency-Adaptive Acoustic Field Predictioncited by 7
  26. 2023Audio-Visual Spatial Integration and Recursive Attention for Robust Sound Source Localizationcited by 5
  27. 2025Object-aware Sound Source Localization via Audio-Visual Scene Understandingcited by 5
  28. 2024MLLM-Search: A Zero-Shot Approach to Finding People using Multimodal Large Language Modelscited by 4
  29. 2023Zero- and Few-shot Sound Event Localization and Detectioncited by 3
  30. 2025OrderChain: Towards General Instruct-Tuning for Stimulating the Ordinal Understanding Ability of MLLMcited by 3
  31. 2025Sound Source Localization for Human-Robot Interaction in Outdoor Environmentscited by 2

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  2. 2026The Sonar Moment: Benchmarking Audio-Language Models in Audio Geo-Localization
  3. 2026What Did the MLLM Hear? Token-Level Spectro-Temporal Grounding for Audio MLLM Explainability
  4. 2026The World is Not Mono: Enabling Spatial Understanding in Large Audio-Language Models
  5. 2025Thinking with Sound: Audio Chain-of-Thought Enables Multimodal Reasoning in Large Audio-Language Models
  6. 2024BAT: Learning to Reason about Spatial Sounds with Large Language Models
  7. 2026Interpretable Perception and Reasoning for Audiovisual Geolocation
  8. 2026SonicWorld: Source-Centric Latent Dynamics for Spatial Audio Reasoning