Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Wenming Tu
Observed name:
Tu, Wenming
Institutions:
Shanghai Jiao Tong University,
Beijing Institute for General Artificial Intelligence
Observed institutions:
Shanghai Jiao Tong University,
Beijing Institute for General Artificial Intelligence
OpenAlex ID:
A5138277870
MOVA: Towards Scalable and Synchronized Video-Audio Generation
2026
·
OpenMOSS Team
, Yu, Donghua
, et al.
·
arXiv (Cornell University)
·
1
PDF
DuplexAct-Bench: Broadening Full-Duplex Speech Evaluation toward Proactive Interaction across Diverse Behavioral Requirements
2026
·
Xing, Keyue
, Ding, Wentao
, et al.
·
arXiv (Cornell University)
PDF
AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editing
2026
·
Ma, Ziyang
, Niu, Zhikang
, et al.
·
arXiv (Cornell University)
PDF
GROW: Group-Relative Advantage-Weighted On-Policy Reinforcement Learning of Autoregressive-Diffusion Text-to-Speech model
2026
·
Yang, Guanrou
, Tan, Tian
, et al.
·
arXiv (Cornell University)
PDF
VISA: A Visual Information Strengthened Audio-Reasoning System for the Interspeech 2026 ARC Agent Track
2026
·
Tu, Wenming
, Gao, Jian
, et al.
·
arXiv (Cornell University)
PDF
MMAE: A Massive Multitask Audio Editing Benchmark
2026
·
Ma, Ziyang
, Yan, Ruiqi
, et al.
·
arXiv (Cornell University)
PDF
AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs
2026
·
Wang, Yaoting
, Zhang, Ziyi
, et al.
·
arXiv (Cornell University)
PDF
A Unified and Reproducible Experimentation Framework for Speech Understanding
2026
·
Peng, Jing
, Du, Junhao
, et al.
·
arXiv (Cornell University)
PDF
Audio-Mind: An Auditable Agentic Framework for Audio Understanding
2026
·
Wang, Yucheng
, Peng, Jing
, et al.
·
arXiv (Cornell University)
PDF
Perception Is the Bottleneck for Large Audio Reasoning Models
2026
·
Ziyang Ma
, Ruiyang Xu
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
2025
·
Chandler Smith
, Marwa Abdulhai
, et al.
·
neural information processing systems
PDF
Show more works
View as search
Works count:
12
Citation count:
1
H-index:
1
I10-index:
Year
Topic
Type