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Jia-Sheng Tang

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Preprint Sep 2026

WorldAttention: An Efficient Attention Architecture for Interactive Video World Models

Leveraging the paradigm of autoregressive diffusion, text-conditioned interactive video world models aim to simulate temporally coherent environments guided by textual instructions. While enabling low-latency, long-duration generation is pivotal for embodied AI and simulation-based planning, current frameworks primaril...

Ze-Yu Zhang, Jin-Yuan Mao, Da-Kai An et al. · 0 citations
Preprint Aug 2026

Improving Generalization Robustness of Multimodal RLVR

Reinforcement Learning with Verifiable Rewards (RLVR) makes Multimodal Large Language Models more accurate, but the gains are brittle: simply paraphrasing a question or changing the prompt template can degrade them, which challenges reliable deployment in high-stakes scenarios like medical VQA. We trace this to two iss...

P. Zhou, Zhiwei Tang, Xiaopeng Peng et al. · 0 citations
Preprint Jul 2026

Unified Hallucination Fuzzing for Multimodal Large Language Models

This work introduces UniHall, a fine-grained dataset grounded in a unified taxonomy spanning Object, Instruction, and Knowledge dimensions, and proposes Self-Adaptive Multimodal Fuzzing (SAMF), a self-adaptive framework that employs evolutionary mutation strategies to explore the boundaries of model hallucinations.

P. Zhou, Jiajun Song, Zhiwei Tang et al. · 1 citation

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