Author

Bin Wen

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#machine learning Preprint Nov 2026

Information-Matched Auditing of Conversational Emotion-Shift Forecasting: A Leakage-Safe Evaluation Protocol

Comparisons in conversational emotion-shift forecasting are easily distorted when a learned model receives rich features but its transition baseline is given a noisy or unavailable current-emotion label, when hyperparameter budgets differ, or when target-turn information enters the representation. We present an informa...

Bin Wen, Dai-Qiao Zhang, Tien-Ping Tan · 0 citations

Preprint Oct 2026

VibeVideoBench: Evaluating Multimodal Agents on Code-Driven Video Generation

Diffusion video models produce striking clips, but they cannot reliably render an exact formula, a correct chart, a rule-consistent game or narration synchronized to on-screen events. A different route is emerging: multimodal agents that write code to render every frame and synthesize every sound. We introduce VibeVide...

Mu-Xi Diao, Wen-Bin Xu, Le-Le Yang et al. · 0 citations

#machine learning Preprint Oct 2026

Partial-Revelation Panel Forecasting: Predictive Information Gain, Allocation, and Coarsening-Consistent Operators

Coarsened-consistent panel operators with a closed-form Dirichlet-multinomial realization, learned completion, and rater-count transfer are defined, with modest and corpus-dependent gains, with several small or null partial-revelation differences.

Bin Wen, Dai-Qiao Zhang, Tien-Ping Tan · 0 citations

Preprint Sep 2026

Sprout: Building Dynamic Memory While Reasoning for Agentic Video Understanding

Long video understanding relies on video memory to overcome the context limits of multimodal large language models. Existing methods follow a build-then-reasoning pipeline: memory is built offline for the entire video, then reasoned over as a static source. In practice a long video is shared by several questions, and t...

Wei Chen, Xuan-Yu Zheng, Yan-Cheng Long et al. · 0 citations

#natural language process... Preprint Sep 2026

GSM: Efficient Language Modeling with Shared Global State

The Global State Model (GSM), a causal encoder--decoder architecture that concentrates the selection and aggregation of long-range information in the encoding stage, is introduced, offering a shared-state architecture for efficient language modeling.

Yun Zheng, Bin Wen, Xiao-Jie Wang et al. · 0 citations

Preprint Aug 2026

Thinking Beyond Videos: Unifying Video Reasoning and Deep Research for Open-World Video Agents

Open-world video understanding often requires a model to locate sparse visual evidence and acquire external knowledge that is absent from the video and its parametric memory. While Thinking-with-Videos enables active temporal perception and Deep Research supports multi-step information seeking, the two capabilities are...

Wenqi Liu, Shi-Jie Ma, Yun-Xiao Wang et al. · 2 citations