2 papers
cs.AI2026
Executable Prefix Values for Locating Agent Failures
Bingyu Shen, Jiaqi Tang, Lan Wei +3
Work on debugging LLM agents treats the "first mistake" marked by a human or LLM judge as ground truth for where a trajectory failed. We ask whether such labels point at causes or…
cs.CR2026
MOMAT: Mixture of Multiple Atlases for Low-Power Jailbreak Defense of Quantized LLMs
Boyang Li, Bingyu Shen, Weihao Hong +6
Quantized large language models are increasingly deployed on edge devices for their low latency and energy efficiency. However, model quantization weakens alignment safeguards, lea…