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cs.AI2026
EvoProbe: Evaluation-Driven Benchmark Evolution for LLM Agents
Qianhong Guo, Wei Xie, Xiaofang Cai +3
Static benchmarks for large language model (LLM) agents face saturation and data contamination risks, motivating continual updates to evaluation tasks. However, aggregate scores an…
cs.CR2026
JPU: Bridging Jailbreak Defense and Unlearning via On-Policy Path Rectification
Xi Wang, Songlei Jian, Shasha Li +5
Despite extensive safety alignment, Large Language Models (LLMs) often fail against jailbreak attacks. While machine unlearning has emerged as a promising defense by erasing specif…