Cover Image

Not in Sync: Unveiling Temporal Bias in Audio Chat Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yao, Jiayu, Liu, Shenghua, Wang, Yiwei, Cheng, Rundong, Mei, Lingrui, Bi, Baolong, Xiong, Zhen, Cheng, Xueqi
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Sound
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SLANG: New Concept Comprehension of Large Language Models
by: Mei, Lingrui, et al.
Published: (2024)

LPNL: Scalable Link Prediction with Large Language Models
by: Bi, Baolong, et al.
Published: (2024)

Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation
by: Yao, Jiayu, et al.
Published: (2025)

"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak
by: Mei, Lingrui, et al.
Published: (2024)

Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts
by: Bi, Baolong, et al.
Published: (2024)

HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router
by: Mei, Lingrui, et al.
Published: (2024)

Prism-$Δ$: Differential Subspace Steering for Prompt Highlighting in Large Language Models
by: Ge, Yuyao, et al.
Published: (2026)

Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models
by: Bi, Baolong, et al.
Published: (2025)

StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models
by: Bi, Baolong, et al.
Published: (2024)

Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities
by: Bi, Baolong, et al.
Published: (2024)

Gated Differentiable Working Memory for Long-Context Language Modeling
by: Mei, Lingrui, et al.
Published: (2026)

a1: Steep Test-time Scaling Law via Environment Augmented Generation
by: Mei, Lingrui, et al.
Published: (2025)

Thinking with Sound: Audio Chain-of-Thought Enables Multimodal Reasoning in Large Audio-Language Models
by: Xiong, Zhen, et al.
Published: (2025)

Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness
by: Bi, Baolong, et al.
Published: (2024)

RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs
by: Bi, Baolong, et al.
Published: (2025)

Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning
by: Ge, Yuyao, et al.
Published: (2025)

AuTAgent: A Reinforcement Learning Framework for Tool-Augmented Audio Reasoning
by: Tong, Siqian, et al.
Published: (2026)

Hearing the Order: Investigating Position Bias in Large Audio-Language Models
by: Lin, Yu-Xiang, et al.
Published: (2025)

Fun-Audio-Chat Technical Report
by: Tongyi Fun Team, et al.
Published: (2025)

DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding
by: Zhou, Jiaming, et al.
Published: (2026)

WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research
by: Mei, Xinhao, et al.
Published: (2023)

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

Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking
by: Ge, Yuyao, et al.
Published: (2025)

Words at Play: Benchmarking Audio Pun Understanding in Large Audio-Language Models
by: Su, Yuchen, et al.
Published: (2026)

Audio-DeepThinker: Progressive Reasoning-Aware Reinforcement Learning for High-Quality Chain-of-Thought Emergence in Audio Language Models
by: He, Xiang, et al.
Published: (2026)

Beyond Transcription: Unified Audio Schema for Perception-Aware AudioLLMs
by: Zhang, Linhao, et al.
Published: (2026)

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

Causal Tracing of Audio-Text Fusion in Large Audio Language Models
by: Chen, Wei-Chih, et al.
Published: (2026)

HeadRouter: Dynamic Head-Weight Routing for Task-Adaptive Audio Token Pruning in Large Audio Language Models
by: He, Peize, et al.
Published: (2026)

Fish Audio S2 Technical Report
by: Liao, Shijia, et al.
Published: (2026)

Direct Preference Optimization for English-Mandarin Code-Switching Speech Recognition in Audio LLMs
by: Quang, Trung Nguyen, et al.
Published: (2026)

When Silence Matters: The Impact of Irrelevant Audio on Text Reasoning in Large Audio-Language Models
by: Li, Chen-An, et al.
Published: (2025)

AudioMotionBench: Evaluating Auditory Motion Perception in Audio LLMs
by: Sun, Zhe, et al.
Published: (2025)

ISA-Bench: Benchmarking Instruction Sensitivity for Large Audio Language Models
by: Li, Bohan, et al.
Published: (2025)

Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment through Latent Acoustic Pattern Triggers
by: Lin, Liang, et al.
Published: (2025)

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

Talking Turns: Benchmarking Audio Foundation Models on Turn-Taking Dynamics
by: Arora, Siddhant, et al.
Published: (2025)

VocalNet-MDM: Accelerating Streaming Speech LLM via Self-Distilled Masked Diffusion Modeling
by: Cheng, Ziyang, et al.
Published: (2026)

Rethinking All Evidence: Enhancing Trustworthy Retrieval-Augmented Generation via Conflict-Driven Summarization
by: Chen, Juan, et al.
Published: (2025)

VCB Bench: An Evaluation Benchmark for Audio-Grounded Large Language Model Conversational Agents
by: Hu, Jiliang, et al.
Published: (2025)