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Home/Authors/Qi Cao

Qi Cao

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Crypto×2AI×2ML×1

Frequent co-authors

Ruiyi Zhang2×
Pengtao Xie2×
Shuhao Zhang1×
Jiarui Li1×
Peijia Qin1×
Li Zhang1×

Research Timeline

2026
Why Do Aligned LLMs Remain Jailbreakable: Refusal-Escape Directions, Operator-Level Sources, and Safety-Utility Trade-off

The paper theorizes that aligned LLMs remain jailbreakable due to 'Refusal-Escape Directions' (RED), which are continuous perturbation paths that shift model behavior from refusal to answering, and shows this vulnerability is linked to specific operator-level sources within the model architecture.

AIBuildAI-2: A Knowledge-Enhanced Agent for Automatically Building AI Models

The paper introduces AIBuildAI-2, a knowledge-enhanced agent that significantly improves the automatic building of AI models by integrating an external, evolving knowledge system, achieving state-of-the-art performance on benchmark tasks.

Send a SCOUT First: Pre-hoc Reasoning for Adaptive Detector Allocation in Prompt-Injection Defense

The paper introduces SCOUT, a dynamic detector allocation framework that improves prompt-injection defense by predicting detector reliability and latency to optimize the trade-off between safety and operational utility.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.LGRecentMay 29, 2026

Send a SCOUT First: Pre-hoc Reasoning for Adaptive Detector Allocation in Prompt-Injection Defense

Shuhao Zhang, Jiarui Li, Qi Cao, Ruiyi Zhang +1 more

The paper introduces SCOUT, a dynamic detector allocation framework that improves prompt-injection defense by predicting detector reliability and latency to optimize the trade-off between safety and o…

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cs.AIRecentMay 27, 2026

AIBuildAI-2: A Knowledge-Enhanced Agent for Automatically Building AI Models

Ruiyi Zhang, Peijia Qin, Qi Cao, Li Zhang +1 more

The paper introduces AIBuildAI-2, a knowledge-enhanced agent that significantly improves the automatic building of AI models by integrating an external, evolving knowledge system, achieving state-of-t…

View →
cs.CRcs.AIRecentMay 9, 2026

Why Do Aligned LLMs Remain Jailbreakable: Refusal-Escape Directions, Operator-Level Sources, and Safety-Utility Trade-off

Yu Chen, Yuanhao Liu, Qi Cao

The paper theorizes that aligned LLMs remain jailbreakable due to 'Refusal-Escape Directions' (RED), which are continuous perturbation paths that shift model behavior from refusal to answering, and sh…

View →