Author

Qing Guo

3 papers indexed here

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Preprint Aug 2026

Toward Metacognitive One-Shot Indirect Prompt Injection: Strategy Abstraction Via Outcome-Conditioned Reflection

Tool-using large language model (LLM) agents are vulnerable to indirect prompt injection (IPI), in which malicious instructions embedded in external observations manipulate subsequent agent decisions and actions. Most existing adaptive attacks rely on repeatedly querying and refining against the target agent, whereas r...

Sihan Hou, Xin-Meng Hou, Zhi-Jun Zhang et al. · 0 citations

#artificial intelligence Preprint Aug 2026

TRACER: Per-Tool Context Retention for LLM Agents via Consequence-Attributed Reinforcement Learning

TRACER is proposed, which formulates compression as a sequential per-tool decision problem, and demonstrates the value of consequence-aware, per-tool context retention for improving the efficiency of long-horizon language agents.

Zihao Lin, Ye Wu, Mengning Yang et al. · 0 citations

Conference Open access Jul 2026

AgentDropout: Dynamic Redundancy Elimination for Multi-Agent Collaboration Efficiency

AgentDropout is a dynamic strategy inspired by dropout regularization in neural networks, which selectively deactivates low-contribution agents during multi-agent collaboration, suggesting that dynamic agent deactivation may be useful for deploying multi-agent LLM systems under computational budget constraints.

Zhengxi Xiao, Qi Guo, Yuyue Wang et al. · 2026 8th International Confe... · 1 citation