Cover Image

All That Glitters Is Not Audio: Rethinking Text Priors and Audio Reliance in Audio-Language Evaluation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Foo, Leonardo Haw-Yang, Yang, Chih-Kai, Li, Chen-An, Lu, Ke-Han, Lee, Hung-yi
Format:	Preprint
Published:	2026
Subjects:	Sound Artificial Intelligence Computation and Language Audio and Speech Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SAKURA: On the Multi-hop Reasoning of Large Audio-Language Models Based on Speech and Audio Information
by: Yang, Chih-Kai, et al.
Published: (2025)

Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey
by: Yang, Chih-Kai, et al.
Published: (2025)

AudioLens: A Closer Look at Auditory Attribute Perception of Large Audio-Language Models
by: Yang, Chih-Kai, et al.
Published: (2025)

Can Large Audio-Language Models Truly Hear? Tackling Hallucinations with Multi-Task Assessment and Stepwise Audio Reasoning
by: Kuan, Chun-Yi, et al.
Published: (2024)

AQAScore: Evaluating Semantic Alignment in Text-to-Audio Generation via Audio Question Answering
by: Kuan, Chun-Yi, et al.
Published: (2026)

MUGEN: Evaluating and Improving Multi-audio Understanding of Large Audio-Language Models
by: Yang, Chih-Kai, et al.
Published: (2026)

FlashAudio: Rectified Flows for Fast and High-Fidelity Text-to-Audio Generation
by: Liu, Huadai, et al.
Published: (2024)

CodecFake: Enhancing Anti-Spoofing Models Against Deepfake Audios from Codec-Based Speech Synthesis Systems
by: Wu, Haibin, et al.
Published: (2024)

IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling
by: Huang, Kuan-Po, et al.
Published: (2025)

MOSS-Audio-Tokenizer: Scaling Audio Tokenizers for Future Audio Foundation Models
by: Gong, Yitian, et al.
Published: (2026)

AudioLCM: Text-to-Audio Generation with Latent Consistency Models
by: Liu, Huadai, et al.
Published: (2024)

How Auditory Knowledge in LLM Backbones Shapes Audio Language Models: A Holistic Evaluation
by: Lu, Ke-Han, et al.
Published: (2026)

AudioEval: Automatic Dual-Perspective and Multi-Dimensional Evaluation of Text-to-Audio-Generation
by: Wang, Hui, et al.
Published: (2025)

Teaching Audio-Aware Large Language Models What Does Not Hear: Mitigating Hallucinations through Synthesized Negative Samples
by: Kuan, Chun-Yi, et al.
Published: (2025)

How Contrastive Decoding Enhances Large Audio Language Models?
by: Lin, Tzu-Quan, et al.
Published: (2026)

Pengi: An Audio Language Model for Audio Tasks
by: Deshmukh, Soham, et al.
Published: (2023)

AudioComposer: Towards Fine-grained Audio Generation with Natural Language Descriptions
by: Wang, Yuanyuan, et al.
Published: (2024)

UniAudio: An Audio Foundation Model Toward Universal Audio Generation
by: Yang, Dongchao, et al.
Published: (2023)

Fast Text-to-Audio Generation with One-Step Sampling via Energy-Scoring and Auxiliary Contextual Representation Distillation
by: Huang, Kuan-Po, et al.
Published: (2026)

Towards Weakly Supervised Text-to-Audio Grounding
by: Xu, Xuenan, et al.
Published: (2024)

MACE: Leveraging Audio for Evaluating Audio Captioning Systems
by: Dixit, Satvik, et al.
Published: (2024)

Nudging Hidden States: Training-Free Model Steering for Chain-of-Thought Reasoning in Large Audio-Language Models
by: Ieong, Lok-Lam, et al.
Published: (2026)

EzAudio: Enhancing Text-to-Audio Generation with Efficient Diffusion Transformer
by: Hai, Jiarui, et al.
Published: (2024)

The Interspeech 2026 Audio Encoder Capability Challenge for Large Audio Language Models
by: Dinkel, Heinrich, et al.
Published: (2026)

UniAudio 1.5: Large Language Model-driven Audio Codec is A Few-shot Audio Task Learner
by: Yang, Dongchao, et al.
Published: (2024)

ASTAR-NTU solution to AudioMOS Challenge 2025 Track1
by: Ritter-Gutierrez, Fabian, et al.
Published: (2025)

SoloAudio: Target Sound Extraction with Language-oriented Audio Diffusion Transformer
by: Wang, Helin, et al.
Published: (2024)

MI-Fuse: Label Fusion for Unsupervised Domain Adaptation with Closed-Source Large-Audio Language Model
by: Huang, Hsiao-Ying, et al.
Published: (2025)

From Contrast to Commonality: Audio Commonality Captioning for Enhanced Audio-Text Cross-modal Understanding in Multimodal LLMs
by: Jia, Yuhang, et al.
Published: (2025)

VIBE: Voice-Induced open-ended Bias Evaluation for Large Audio-Language Models via Real-World Speech
by: Lin, Yi-Cheng, et al.
Published: (2026)

Codec-Based Deepfake Source Tracing via Neural Audio Codec Taxonomy
by: Chen, Xuanjun, et al.
Published: (2025)

DFADD: The Diffusion and Flow-Matching Based Audio Deepfake Dataset
by: Du, Jiawei, et al.
Published: (2024)

AudioTurbo: Fast Text-to-Audio Generation with Rectified Diffusion
by: Zhao, Junqi, et al.
Published: (2025)

Audio-Mind: An Auditable Agentic Framework for Audio Understanding
by: Wang, Yucheng, et al.
Published: (2026)

SAKE: Towards Editing Auditory Attribute Knowledge of Large Audio-Language Models
by: Yang, Chih-Kai, et al.
Published: (2025)

PAM: Prompting Audio-Language Models for Audio Quality Assessment
by: Deshmukh, Soham, et al.
Published: (2024)

DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal Alignment
by: Lu, Ke-Han, et al.
Published: (2025)

Audio Entailment: Assessing Deductive Reasoning for Audio Understanding
by: Deshmukh, Soham, et al.
Published: (2024)

LongCat-Audio-Codec: An Audio Tokenizer and Detokenizer Solution Designed for Speech Large Language Models
by: Zhao, Xiaohan, et al.
Published: (2025)

Refining Knowledge Transfer on Audio-Image Temporal Agreement for Audio-Text Cross Retrieval
by: Tsubaki, Shunsuke, et al.
Published: (2024)