Author

Junliang Liu

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Preprint Aug 2026

Convergent Detour Hijacking: Task-Preserving Resource Amplification in Skill-Based LLM Agents

Convergent Detour Hijacking is introduced, a text-only, runtime-independent attack that couples selection manipulation, malicious skill instructions, and tool-chain resource amplification largely separately and evaluates it across multiple LLM backends and 491 held-out tasks under single-task and multi-turn conditions.

Junliang Liu, Ruo-Yu Li, Wenxin Tang et al. · 1 citation

Jul 2026

CodeShrink: Adaptive Visual Compression for Efficient Multimodal Code Understanding

Results show that combining layout compaction, adaptive configuration, and instruction-aware pruning can make multimodal code understanding more efficient, and propose CodeShrink, an adaptive visual compression framework with three components.

Wenxin Tang, Jingyu Xiao, Zhen-Yu Liu et al. · arXiv.org · 1 citation