Author

Tingzhang Luo

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Preprint Aug 2026

Reading is not Reasoning: Bridging the Agentic Policy Gap in Vision-Text Compression

Multi-step language-model agents repeatedly process growing interaction histories, leading to substantial context costs. Vision--text compression reduces these costs by rendering history as images, but the resulting modality shift creates a marked capability gap. Through controlled evaluations of history recovery, matc...

Cheng Fan, Junyi Zhou, Tingzhang Luo et al. · 1 citation

Preprint Aug 2026

RoRA: Role-Oriented Regional Allocation for Visual Token Pruning in MLLMs

RoRA is a training-free framework that casts visual token pruning as role-oriented regional evidence allocation, and consistently outperforms strong training-free baselines across LLaVA and Qwen-VL families, retaining most of the unpruned accuracy even at aggressive pruning ratios.

Qiyanhui Lu, Han Wu, Rong-Jia Xu et al. · 1 citation

Jul 2026

TACG: Trajectory-Aware Commit Gating for Diffusion Language Model Decoding

Trajectory-Aware Commit Gating (TACG), a training-free gate-level decoder that anchors token identities to the base posterior and uses trajectory-aware signals only to decide whether the current proposal is ready to commit, is proposed.

Chengcheng Wang, Tingzhang Luo, Wenhao Li et al. · arXiv.org · 3 citations