1 citations · 1 across the 4 of their papers we have counts for
5 papers
MetaCtrl: Your Large Language Models Can Reason Better and More Concisely with a Metacognitive Controller
Zhibin Wen, Tao Han, Lei Bai +2
Large reasoning models improve performance on challenging problems by allocating additional computation before answering, but longer reasoning does not always lead to better result…
Beyond Artifacts: Towards Generalizable Synthetic Song Detection via Music-Intrinsic Features
Yan Han, Zhibin Wen, Yuan Wang +4
The rapid advancement of AI music generators highlights the urgent need for reliable Synthetic Song Detection (SSD). Existing SSD methods often rely on low-level artifacts or fixed…
Generative 3D Gaussian Splatting for Arbitrary-ResolutionAtmospheric Downscaling and Forecasting
Tao Han, Zhibin Wen, Zhenghao Chen +4
While AI-based numerical weather prediction (NWP) enables rapid forecasting, generating high-resolution outputs remains computationally demanding due to limited multi-scale adaptab…
Fast and Accurate Probing of In-Training LLMs' Downstream Performances
Zhichen Liu, Tianle Lun, Zhibin Wen +7
The paradigm of scaling Large Language Models (LLMs) in both parameter size and test time has pushed the boundaries of AI capabilities, but at the cost of making the traditional ge…
Learning to Unify Audio, Visual and Text for Audio-Enhanced Multilingual Visual Answer Localization
Zhibin Wen, Bin Li
The goal of Multilingual Visual Answer Localization (MVAL) is to locate a video segment that answers a given multilingual question. Existing methods either focus solely on visual m…