3 papers
cs.RO2026
Jailbreaking Embodied LLMs via Action-level Manipulation
Xinyu Huang, Qiang Yang, Leming Shen +2
Embodied Large Language Models (LLMs) enable AI agents to interact with the physical world through natural language instructions and actions. However, beyond the language-level ris…
cs.CR2025
Towards Privacy-Preserving and Personalized Smart Homes via Tailored Small Language Models
Xinyu Huang, Leming Shen, Zijing Ma +1
Large Language Models (LLMs) have showcased remarkable generalizability in language comprehension and hold significant potential to revolutionize human-computer interaction in smar…
cs.SE2025
GPIoT: Tailoring Small Language Models for IoT Program Synthesis and Development
Leming Shen, Qiang Yang, Xinyu Huang +2
Code Large Language Models (LLMs) enhance software development efficiency by automatically generating code and documentation in response to user requirements. However, code LLMs ca…