2 papers
cs.CL2026
AlignFed: Alignment-Aware Asynchronous Federated Fine-Tuning for Large Language Models in Heterogeneous Edge Environments
Yan Wang, Ziyi Gao, Rui Wang
Large Language Models (LLMs) have significantly propelled the advancement of edge intelligence and have been widely deployed across various scenarios, including autonomous driving,…
cs.CL2025
MIST: Jailbreaking Black-box Large Language Models via Iterative Semantic Tuning
Muyang Zheng, Yuanzhi Yao, Changting Lin +3
Despite efforts to align large language models (LLMs) with societal and moral values, these models remain susceptible to jailbreak attacks -- methods designed to elicit harmful res…