collaborators

10 papers

cs.AI2026

dTRPO: Trajectory Reduction in Policy Optimization of Diffusion Large Language Models

Wenxuan Zhang, Lemeng Wu, Changsheng Zhao +11

Diffusion Large Language Models (dLLMs) introduce a new paradigm for language generation, which in turn presents new challenges for aligning them with human preferences. In this wo…

cs.CV2026

Small Vision-Language Models are Smart Compressors for Long Video Understanding

Junjie Fei, Jun Chen, Zechun Liu +13

Adapting Multimodal Large Language Models (MLLMs) for hour-long videos is bottlenecked by context limits. Dense visual streams saturate token budgets and exacerbate the lost-in-the…

cs.SE2026

SemLink: A Semantic-Aware Automated Test Oracle for Hyperlink Verification using Siamese Sentence-BERT

Guan-Yan Yang, Wei-Ling Wen, Shu-Yuan Ku +2

Web applications rely heavily on hyperlinks to connect disparate information resources. However, the dynamic nature of the web leads to link rot, where targets become unavailable,…

cs.CV2026

Rethinking Model Efficiency: Multi-Agent Inference with Large Models

Sixun Dong, Juhua Hu, Steven Li +2

Most vision-language models (VLMs) apply a large language model (LLM) as the decoder, where the response tokens are generated sequentially through autoregression. Therefore, the nu…

cs.CV2026

Efficient Universal Perception Encoder

Chenchen Zhu, Saksham Suri, Cijo Jose +8

Running AI models on smart edge devices can unlock versatile user experiences, but presents challenges due to limited compute and the need to handle multiple tasks simultaneously.…

cs.CV2026

VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice

Shuming Liu, Mingchen Zhuge, Changsheng Zhao +20

Chain-of-thought (CoT) reasoning has emerged as a powerful tool for multimodal large language models on video understanding tasks. However, its necessity and advantages over direct…