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Yunzhi Zhuge

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Preprint Sep 2026

TRACE: Trajectory-robust Admission with Evidence Ordering for Efficient GUI Agents

GUI agents accumulate high-resolution screenshots as the trajectory unfolds, increasing inference latency and memory usage. Training-free visual token pruning can reduce this cost, but cache reuse introduces a fundamental constraint. Once tokens are discarded, the corresponding visual evidence cannot be recovered witho...

Yu-Hao Wang, Mu Qiao, Xin-Dong Zhang et al. · 0 citations
Preprint Sep 2026

When to Retrieve, When to Stay: Uncertainty-Aware Temporal Evidence Allocation for Streaming Video-LLMs

Streaming video understanding requires Video Large Language Models (Video-LLMs) to reason over continuous visual streams under causal constraints. As the visual history grows, a bounded visual?processing budget requires evidence selection that balances temporal recency with query relevance. Recent-only selection exclud...

Xiang Hu, Jia-Zuo Yu, Lu Zhang et al. · 0 citations
Preprint Aug 2026

AnyTrack: Unifying Visual Object Tracking with Any Modalities

Visual object tracking aims to continuously locate specific targets within sequential frames, evolving from single-modal methods to multi-modal ones. However, existing multi-modal trackers are typically designed for fixed modality combinations, requiring separate models for different inputs. This leads to a poor adapta...

Hao Li, Yun-Zhi Zhuge, Wenning Hao et al. · 0 citations
Jul 2026

One Aligned LLM to Serve Them All: A Transfer Recipe for Training VLMs without Visual-Language Re-Alignment

This work demonstrates that the aligned LLM with a general-purpose vision encoder can effectively enhance downstream VQA performance with task-specific encoders, and investigates several alignment strategies between the aligned LLM and new task-specific encoders.

Jiazuo Yu, Yunzhi Zhuge, Lu Zhang et al. · 0 citations

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