activity
20242026
collaborators

26 papers

cs.CL2026

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models

Junyu Wang, Siyuan Zhang, Peiyuan Jiang +11

Despite significant advances in instruction-following and auditory comprehension, the evaluation of Emotional Intelligence (EI) in Spoken Language Models (SLMs) remains confined to…

eess.AS2026

EChO-Agent: Evidence Chain Orchestration Agent for Audio Reasoning

Siyuan Zhang, Jian Zong, Junyu Wang +7

While LALMs show promise on audio question answering, they fail to focus on question-relevant segments of audio and provide a clear, checkable reasoning process when dealing with c…

cs.SD2026

Speech Meets ELF: Audio Conditional Continuous-Target Diffusion for Speech Recognition and Translation

Xuanchen Li, Tianrui Wang, Yuheng Lu +11

Speech-to-text (S2T) systems for recognition (ASR) and translation (S2TT) typically generate discrete text tokens. In contrast, continuous-target language modelling performs genera…

cs.SD2026

MMAE: A Massive Multitask Audio Editing Benchmark

Ziyang Ma, Ruiqi Yan, Ruiyang Xu +35

We introduce MMAE, a Massive Multitask Audio Editing benchmark, serving as the first comprehensive evaluation testbed designed for general-purpose instruction-based audio editing.…

eess.AS2026

Audio Imitator: Controlling Timbre and Tempo in Video2Audio Synthesis with Audio Reference

Jiahui Zhao, Tianrui Wang, Chunyu Qiang +4

Video-to-audio generation has made significant progress in achieving semantic consistency and temporal alignment from silent videos. However, audio contains rich stylistic attribut…

cs.AI2026

Separate First, Fuse Later: Mitigating Cross-Modal Interference in Audio-Visual LLMs Reasoning with Modality-Specific Chain-of-Thought

Xuanchen Li, Yuheng Lu, Chenrui Cui +6

Audio and vision provide complementary evidence for audio-visual question answering, yet current audio-visual large language models may suffer from cross-modal interference: inform…