collaborators

12 papers

cs.IR2026

PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams

Fuqiang Wang, Song Tan, Zheng Guo +8

Scientific paper recommendation is typically evaluated as static ranking over a fixed candidate set, yet real scientific reading unfolds as a daily, longitudinal process in which i…

cs.CV2026

Physical Plausibility Reasoning via HCM-GRPO: Empowering Compact Model for Superior Performance

Zhiyuan Hu, Zheng Sun, Yi Wei +1

The performance of image generation has been significantly improved in recent years. However, the study of image screening is rare, and its performance with Multimodal Large Langua…

cs.CV2026

Pre-VLA: Preemptive Runtime Verification for Reliable Vision-Language-Action and World-Model Rollouts

Zhen Sun, Yongjian Guo, Haoran Sun +6

While large vision-language-action (VLA) models and generative world models (WM) have advanced long-horizon embodied intelligence, their practical deployment remains challenged by…

cs.AI2026

PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Control

Jingxuan Wei, Xi Bai, Shan Liu +8

Large vision-language models have significantly advanced GUI agents, enabling executable interaction across web, mobile, and desktop interfaces. Yet these gains largely rely on a f…

cs.LG2026

An Information-Theoretic Criterion for Efficient Data Synthesis

Hanyu Li, Zhengqi Sun, Xiaotie Deng

Synthetic data becomes crucial for large language model training, but its effectiveness is highly inconsistent. We provide an information-theoretic account of this inconsistency: s…

cs.CL2026

Thinking with Drafting: Optical Decompression via Logical Reconstruction

Jingxuan Wei, Honghao He, Caijun Jia +9

Existing multimodal large language models have achieved high-fidelity visual perception and exploratory visual generation. However, a precision paradox persists in complex reasonin…