Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models | Paper Citation Record

Observation 897b7fd3-7c2c-496e-abb6-b3bc3fcc7be8 · outbound

This paper cites Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models

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This paper cites Rain is falling con- tinuously.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Rain is falling con- tinuously

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This paper cites It starts with the sound ofe 1, shifts toe 2, and ends withe 3.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models It starts with the sound ofe 1, shifts toe 2, and ends withe 3

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This paper cites Verifying ALLMs as Judges Table 1 reports ALLM performance on audio understanding benchmarks with ground-truth annotations.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Verifying ALLMs as Judges Table 1 reports ALLM performance on audio understanding benchmarks with ground-truth annotations

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This paper cites While recent systems achieve strong percep- tual realism, our study shows that they often overlook fine- grained requirements such as sound event completeness and temporal ordering.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models While recent systems achieve strong percep- tual realism, our study shows that they often overlook fine- grained requirements such as sound event completeness and temporal ordering

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Unresolved cited work

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This paper cites AudioGen: Textually Guided Audio Generation.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models AudioGen: Textually Guided Audio Generation

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This paper cites MusicLM: Generating Music From Text.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models MusicLM: Generating Music From Text

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This paper cites AudioLDM: Text-to-audio generation with latent diffusion models,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models AudioLDM: Text-to-audio generation with latent diffusion models,

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This paper cites Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Diffsound: Discrete diffusion model for text-to-sound genera- tion,

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This paper cites Towards general-purpose text-instruction-guided voice conversion,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Towards general-purpose text-instruction-guided voice conversion,

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This paper cites Simple and controllable music generation,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Simple and controllable music generation,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Audiolm: a language modeling approach to audio gener- ation,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models SoundStorm: Efficient Parallel Audio Generation

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This paper cites Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generation.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generation

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This paper cites Tango 2: Aligning diffusion-based text-to-audio generations through direct preference optimization,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Tango 2: Aligning diffusion-based text-to-audio generations through direct preference optimization,

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This paper cites Tangoflux: Super fast and faithful text to audio generation with flow matching and clap- ranked preference optimization,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Tangoflux: Super fast and faithful text to audio generation with flow matching and clap- ranked preference optimization,

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This paper cites EzAudio: Enhancing Text-to-Audio Generation with Efficient Diffusion Transformer.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models EzAudio: Enhancing Text-to-Audio Generation with Efficient Diffusion Transformer

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This paper cites Audioldm 2: Learn- ing holistic audio generation with self-supervised pretraining,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Audioldm 2: Learn- ing holistic audio generation with self-supervised pretraining,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Stable audio open,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Etta: Elucidating the design space of text-to-audio models,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Impact: Iter- ative mask-based parallel decoding for text-to-audio generation with diffusion modeling,

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This paper cites Gen- erative audio language modeling with continuous-valued tokens and masked next-token prediction,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Gen- erative audio language modeling with continuous-valued tokens and masked next-token prediction,

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This paper cites Fr ´echet audio distance: A reference-free metric for evaluating music enhancement algorithms,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Fr ´echet audio distance: A reference-free metric for evaluating music enhancement algorithms,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Improved techniques for training gans,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Clap learning audio concepts from natural language supervision,

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This paper cites Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Ritta: Model- ing event relations in text-to-audio generation,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Aurelius: Relation aware text-to-audio generation at scale,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Compa: Address- ing the gap in compositional reasoning in audio-language mod- els,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models T2a-feedback: Improving basic capabilities of text-to-audio generation via fine-grained ai feed- back,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Aqascore: Evaluating semantic alignment in text-to-audio generation via audio question answering,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models The Sound of Absence: Audio-Language Embedding Models Struggle with Negation

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models GPT-4 Technical Report

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Joint audio and speech understanding,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Audiochatllama: Towards general-purpose speech abilities for llms,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Speech-copilot: Leveraging large language models for speech processing via task decomposition, modularization, and program generation,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Speechprompt: Prompting speech language models for speech processing tasks,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Blsp- emo: Towards empathetic large speech-language models,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Audio flamingo 3: Advancing audio intelligence with fully open large audio language models,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Voxtral

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Qwen2.5-Omni Technical Report

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This paper cites Teaching audio-aware large language models what does not hear: Mitigating hallucinations through synthesized negative samples,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Teaching audio-aware large language models what does not hear: Mitigating hallucinations through synthesized negative samples,

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This paper cites From alignment to advancement: Bootstrapping audio- language alignment with synthetic data,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models From alignment to advancement: Bootstrapping audio- language alignment with synthetic data,

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

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Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

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This paper cites On the landscape of spoken language models: A comprehensive survey,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models On the landscape of spoken language models: A comprehensive survey,

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This paper cites Audio flamingo 2: An audio- language model with long-audio understanding and expert reason- ing abilities,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Audio flamingo 2: An audio- language model with long-audio understanding and expert reason- ing abilities,

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This paper cites Understanding sounds, missing the questions: The challenge of object hallucination in large audio-language models,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Understanding sounds, missing the questions: The challenge of object hallucination in large audio-language models,

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This paper cites Can large audio-language models truly hear? tackling hallucinations with multi-task assessment and stepwise audio reasoning,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Can large audio-language models truly hear? tackling hallucinations with multi-task assessment and stepwise audio reasoning,

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This paper cites Dynamic-superb: Towards a dynamic, col- laborative, and comprehensive instruction-tuning benchmark for speech,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Dynamic-superb: Towards a dynamic, col- laborative, and comprehensive instruction-tuning benchmark for speech,

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Observation 8f6b06dc-021c-424d-b487-6393d494879e · outbound

This paper cites Dynamic-superb phase-2: A collaboratively expanding benchmark for measuring the capabilities of spoken language models with 180 tasks,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Dynamic-superb phase-2: A collaboratively expanding benchmark for measuring the capabilities of spoken language models with 180 tasks,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-02T05:20:02.393294Z

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Observation bc7f16a0-4878-48a4-95f3-1e4acbb3d1cb · outbound

This paper cites Mmau: A mas- sive multi-task audio understanding and reasoning benchmark,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Mmau: A mas- sive multi-task audio understanding and reasoning benchmark,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-02T05:20:02.526891Z

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Observation 6725413c-ccf2-44a3-92cf-440a8c763c73 · outbound

This paper cites MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-02T05:20:02.638568Z

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Observation 845f6050-4f64-412b-ab73-8ac9afaa3b9a · outbound

This paper cites MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-02T05:20:02.704210Z

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Observation bbe15c22-57ad-49e3-922d-0172e2fe2e30 · outbound

This paper cites Game-time: Evaluating temporal dynamics in spoken language models,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Game-time: Evaluating temporal dynamics in spoken language models,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-02T05:20:02.807832Z

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Observation 96f2e11a-f2dc-4ef6-a2ca-3096fb59c02c · outbound

This paper cites Aqua-bench: Beyond finding answers to knowing when there are none in audio question answering,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Aqua-bench: Beyond finding answers to knowing when there are none in audio question answering,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-02T05:20:02.895515Z

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Observation 4a70f1b7-c7c8-4ec6-ad7f-eb66b453401b · outbound

This paper cites Baton: aligning text-to- audio model using human preference feedback,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Baton: aligning text-to- audio model using human preference feedback,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-02T05:20:03.015060Z

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Observation 11e27ef6-1daa-4dc8-89f9-9050d62389a4 · outbound

This paper cites Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-02T05:20:03.080402Z

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Observation bf460991-dbb7-491d-aefe-0c7c596b4ab9 · outbound

This paper cites Audio large language models can be descrip- tive speech quality evaluators,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Audio large language models can be descrip- tive speech quality evaluators,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-02T05:20:03.189659Z

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Observation b988b51f-4411-49b7-b030-50c369e351cb · outbound

This paper cites AudioJudge: Understanding What Works in Large Audio Model Based Speech Evaluation.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models AudioJudge: Understanding What Works in Large Audio Model Based Speech Evaluation

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-02T05:20:03.280286Z

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Observation fcfb353f-9297-47b6-a57a-556b13f36469 · outbound

This paper cites Audio-aware large language models as judges for speaking styles,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Audio-aware large language models as judges for speaking styles,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-02T05:20:03.382877Z

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Observation 2cc58875-3fa4-4603-9419-b2cabe24bced · outbound

This paper cites InstructTTSEval: Benchmarking Complex Natural-Language Instruction Following in Text-to-Speech Systems.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models InstructTTSEval: Benchmarking Complex Natural-Language Instruction Following in Text-to-Speech Systems

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-02T05:20:03.452297Z

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Observation ddab289b-5042-4030-a525-02d0dc13abbd · outbound

This paper cites Audioeval: Automatic dual-perspective and multi-dimensional evaluation of text-to-audio-generation,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Audioeval: Automatic dual-perspective and multi-dimensional evaluation of text-to-audio-generation,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-02T05:20:03.583905Z

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Observation 0a5ecb1b-92f2-4fb1-8830-1452c7d0a9d3 · outbound

This paper cites Audiocaps: Generat- ing captions for audios in the wild,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Audiocaps: Generat- ing captions for audios in the wild,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-02T05:20:03.689733Z

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Observation 1c71ab8d-13c3-487b-afad-0214601ac569 · outbound

This paper cites Audiotime: A temporally- aligned audio-text benchmark dataset,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models Audiotime: A temporally- aligned audio-text benchmark dataset,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-02T05:20:03.790811Z

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Observation fc05b91d-98ce-4a16-b5c4-cc609a2bd884 · outbound

This paper cites ESC: Dataset for Environmental Sound Classifi- cation,.

Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Audio-Aware Large Language Models ESC: Dataset for Environmental Sound Classifi- cation,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-02T05:20:03.868153Z

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