Hooi, Bryan

Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models

Sui, Y., He, Y., Cao, T., Han, S., Chen, Y., & Hooi, B. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Zombie Agents: Persistent Control of Self-Evolving LLM Agents via Self-Reinforcing Injections

Yang, X., He, Y., Ji, S., Hooi, B., & Dong, J. S. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

From Approval to Abuse: Privilege Escalation Attacks on Harness-Protected Coding Agents

Yang, X., Zhang, Y., Liu, J., Chen, Y., Cao, Y., Hooi, B., & Zhang, J. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

MiroEval: Benchmarking Multimodal Deep Research Agents in Process and Outcome

Ye, F., Hu, Y., Zhu, P., Li, Y., Jin, Z., Xiao, Y., Wang, Y., Wang, L., Zhang, Z., Wang, L., et al. (2026) · arXiv

Information Retrieval and Search BehaviorMultimodal Machine Learning Applications

Cited by 0

Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates

Li, Y., Lin, Z., Deng, A., Zhang, X., He, Y., Ji, S., Cao, T., & Hooi, B. (2026) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 0