Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities
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Cited by 31 in LLM reasoning, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
Augmenting large language models (LLMs) to understand audio -- including non-speech sounds and non-verbal speech -- is critically important for diverse real-world applications of LLMs. In this paper, we propose Audio Flamingo, a novel audio language model with 1) strong audio understanding abilities, 2) the ability to quickly adapt to unseen tasks via in-context learning and retrieval, and 3) strong multi-turn dialogue abilities. We introduce a series of training techniques, architecture design, and data strategies to enhance our model with these abilities. Extensive evaluations across various audio understanding tasks confirm the efficacy of our method, setting new state-of-the-art benchmarks. Our demo website is https://audioflamingo.github.io/ and the code is open-sourced at https://github.com/NVIDIA/audio-flamingo.
Key facts. Cited by 183 papers in the map (data through 7 Oct 2026). Builds on 69 of its 93 references that are in the map. First posted on arXiv 2 Feb 2024.
Builds on
69 of 93 references.
References · 69
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- 2017Billion-scale similarity search with GPUscited by 2,477
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- 2023PaLM-E: An Embodied Multimodal Language Modelcited by 2,037
- 2021Improving language models by retrieving from trillions of tokenscited by 1,278
- 2022Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentationcited by 707
- 2022High Fidelity Neural Audio Compressioncited by 673
- 2021Multimodal Few-Shot Learning with Frozen Language Modelscited by 657
- 2018MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversationscited by 636
- 2021AST: Audio Spectrogram Transformercited by 634
- 2020Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillationcited by 591
- 2023Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Modelscited by 591
- 2019PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognitioncited by 563
- 2023Textbooks Are All You Need II: phi-1.5 technical reportcited by 559
- 2023SALMONN: Towards Generic Hearing Abilities for Large Language Modelscited by 492
- 2023MusicLM: Generating Music From Textcited by 442
- 2019Clotho: An Audio Captioning Datasetcited by 354
- 2020FSD50K: An Open Dataset of Human-Labeled Sound Eventscited by 339
- 2023AudioPaLM: A Large Language Model That Can Speak and Listencited by 333
- 2023WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Researchcited by 266
- 2023AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Headcited by 264
- 2022OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalizationcited by 235
- 2017Neural Audio Synthesis of Musical Notes with WaveNet Autoencoderscited by 222
- 2023Pengi: An Audio Language Model for Audio Taskscited by 217
- 2023Listen, Think, and Understandcited by 206
- 2016FMA: A Dataset For Music Analysiscited by 205
- 2022Learning to Answer Questions in Dynamic Audio-Visual Scenarioscited by 188
- 2023MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Trainingcited by 175
- 2022HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detectioncited by 174
- 2023Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integrationcited by 168
- 2023ImageBind-LLM: Multi-modality Instruction Tuningcited by 142
- 2023Joint Audio and Speech Understandingcited by 99
- 2023AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Modelcited by 93
- 2022MuLan: A Joint Embedding of Music Audio and Natural Languagecited by 85
- 2022Clotho-AQA: A Crowdsourced Dataset for Audio Question Answeringcited by 84
- 2021The Benefit Of Temporally-Strong Labels In Audio Event Classificationcited by 83
- 2023LP-MusicCaps: LLM-Based Pseudo Music Captioningcited by 83
- 2023Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioningcited by 77
- 2023SALM: Speech-augmented Language Model with In-context Learning for Speech Recognition and Translationcited by 75
50 most cited of 69 All 69 (JSON)
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Citing papers per year: 2024: 47; 2025: 70; 2026: 66.
183 papers.
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- 2024Qwen2-Audio Technical Reportcited by 543
- 2025SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Roboticscited by 507
- 2024MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmarkcited by 281
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- 2024GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilitiescited by 151
- 2025Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilitiescited by 127
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- 2025Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Modelscited by 94
38 more
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- 2024Jailbreak Attacks and Defenses against Multimodal Generative Models: A Surveycited by 31
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- 2024Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challengescited by 30
- 2024Understanding Sounds, Missing the Questions: The Challenge of Object Hallucination in Large Audio-Language Modelscited by 30
- 2024Can Large Audio-Language Models Truly Hear? Tackling Hallucinations with Multi-Task Assessment and Stepwise Audio Reasoningcited by 29
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- 2024Chain-of-Thought Prompting for Speech Translationcited by 17
- 2024ETTA: Elucidating the Design Space of Text-to-Audio Modelscited by 17
- 2025CMI-Bench: A Comprehensive Benchmark for Evaluating Music Instruction Followingcited by 15
- 2026Audio Flamingo Next: Next-Generation Open Audio-Language Models for Speech, Sound, and Musiccited by 15
- 2025MTalk-Bench: Evaluating Speech-to-Speech Models in Multi-Turn Dialogues via Arena-style and Rubrics Protocolscited by 14
- 2024SSDM: Scalable Speech Dysfluency Modelingcited by 13
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- 2025OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarioscited by 9
- 2025OWL: Geometry-Aware Spatial Reasoning for Audio Large Language Modelscited by 9
- 2026MOSS-Audio Technical Reportcited by 9
- 2024PALM: Few-Shot Prompt Learning for Audio Language Modelscited by 8
50 most cited of 183 All 183 (JSON)
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- 2026In-Context Adaptation of Encoder-Decoder Models in Speech Recognition27 Sep 2026
- 2026To Trust or Not to Trust: Retrieval-Augmented Fact Checking in Speech24 Sep 2026
- 2026Mizar: A 159M-Parameter Audio-Language Model for Audio Understanding23 Sep 2026
- 2026Vox-Infinity: Benchmarking the Limits of Long-Context Spoken Language Models18 Sep 2026
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- 2026Augmenting Large Audio-Language Models with Frame-Level Grounding for Fine-Grained Temporal Perception14 Sep 2026
- 2026Knowing When Not to Answer: Pseudo-Ensembles for Abstention in Music Audio-Language Models3 Sep 2026
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- 2026Auditory Illusion Benchmark for Large Audio Language Models2 Sep 2026
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- 2026Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models3 Aug 2026
- 2026Music Hallucination in Audio-Language Models: A Hierarchical Formulation and Empirical Study24 Jul 2026
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50 newest of 183 All 183 (JSON)
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- 2025SARI: Structured Audio Reasoning via Curriculum-Guided Reinforcement Learningcited by 31
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- 2024Chain-of-Thought Prompting for Speech Translationcited by 17
- 2025UALM: Unified Audio Language Model for Understanding, Generation and Reasoningcited by 10
- 2025OWL: Geometry-Aware Spatial Reasoning for Audio Large Language Modelscited by 9
12 most cited of 31 All 31 (JSON)
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- 2026RAIL: Rethinking Auditory Intelligence in Large Audio-Language Models with a CHC-Grounded Benchmark9 Jun 2026
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- 2026Knowing When Not to Answer: Pseudo-Ensembles for Abstention in Music Audio-Language Models3 Sep 2026
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