Cover Image

AQUA-Bench: Beyond Finding Answers to Knowing When There Are None in Audio Question Answering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kuan, Chun-Yi, Lee, Hung-yi
Format:	Preprint
Published:	2026
Subjects:	Audio and Speech Processing Artificial Intelligence Computation and Language Machine Learning Sound
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

From Alignment to Advancement: Bootstrapping Audio-Language Alignment with Synthetic Data
by: Kuan, Chun-Yi, et al.
Published: (2025)

Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models
by: Kuan, Chun-Yi, et al.
Published: (2026)

Understanding Sounds, Missing the Questions: The Challenge of Object Hallucination in Large Audio-Language Models
by: Kuan, Chun-Yi, et al.
Published: (2024)

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)

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

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

All That Glitters Is Not Audio: Rethinking Text Priors and Audio Reliance in Audio-Language Evaluation
by: Foo, Leonardo Haw-Yang, et al.
Published: (2026)

Reinforcement Learning Outperforms Supervised Fine-Tuning: A Case Study on Audio Question Answering
by: Li, Gang, et al.
Published: (2025)

ASPIRin: Action Space Projection for Interactivity-Optimized Reinforcement Learning in Full-Duplex Speech Language Models
by: Hsiao, Chi-Yuan, et al.
Published: (2026)

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)

SUTA-LM: Bridging Test-Time Adaptation and Language Model Rescoring for Robust ASR
by: Huang, Wei-Ping, et al.
Published: (2025)

Multi-Domain Audio Question Answering Benchmark Toward Acoustic Content Reasoning
by: Yang, Chao-Han Huck, et al.
Published: (2025)

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

BLAB: Brutally Long Audio Bench
by: Ahia, Orevaoghene, et al.
Published: (2025)

DAISY: Data Adaptive Self-Supervised Early Exit for Speech Representation Models
by: Lin, Tzu-Quan, et al.
Published: (2024)

XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark
by: Ciobanu, Ioan-Paul, et al.
Published: (2025)

Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition
by: Su, Hsuan, et al.
Published: (2024)

MoVE: Translating Laughter and Tears via Mixture of Vocalization Experts in Speech-to-Speech Translation
by: Chen, Szu-Chi, et al.
Published: (2026)

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

A Self-Refining Framework for Enhancing ASR Using TTS-Synthesized Data
by: Chou, Cheng-Kang, et al.
Published: (2025)

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

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

Discrete Audio Tokens: More Than a Survey!
by: Mousavi, Pooneh, et al.
Published: (2025)

Speech-Copilot: Leveraging Large Language Models for Speech Processing via Task Decomposition, Modularization, and Program Generation
by: Kuan, Chun-Yi, et al.
Published: (2024)

Do Prompts Really Prompt? Exploring the Prompt Understanding Capability of Whisper
by: Yang, Chih-Kai, et al.
Published: (2024)

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)

Investigating Safety Vulnerabilities of Large Audio-Language Models Under Speaker Emotional Variations
by: Feng, Bo-Han, 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)

Analyzing Mitigation Strategies for Catastrophic Forgetting in End-to-End Training of Spoken Language Models
by: Hsiao, Chi-Yuan, et al.
Published: (2025)

Robust Generative Audio Quality Assessment: Disentangling Quality from Spurious Correlations
by: Huang, Kuan-Tang, et al.
Published: (2026)

SHMamba: Structured Hyperbolic State Space Model for Audio-Visual Question Answering
by: Yang, Zhe, et al.
Published: (2024)

AudioBERT: Audio Knowledge Augmented Language Model
by: Ok, Hyunjong, et al.
Published: (2024)

KoALa-Bench: Evaluating Large Audio Language Models on Korean Speech Understanding and Faithfulness
by: Kim, Jinyoung, et al.
Published: (2026)

TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling
by: Tseng, Liang-Hsuan, et al.
Published: (2025)

ALICE: A Multifaceted Evaluation Framework of Large Audio-Language Models' In-Context Learning Ability
by: Piao, Yen-Ting, et al.
Published: (2026)

Enhancing Temporal Understanding in Audio Question Answering for Large Audio Language Models
by: Sridhar, Arvind Krishna, et al.
Published: (2024)

Beyond Single-Audio: Advancing Multi-Audio Processing in Audio Large Language Models
by: Chen, Yiming, et al.
Published: (2024)

Zero Resource Code-switched Speech Benchmark Using Speech Utterance Pairs For Multiple Spoken Languages
by: Huang, Kuan-Po, et al.
Published: (2023)