2 papers
cs.CL2025
Review of Inference-Time Scaling Strategies: Reasoning, Search and RAG
Zhichao Wang, Cheng Wan, Dong Nie
The performance gains of LLMs have historically been driven by scaling up model size and training data. However, the rapidly diminishing availability of high-quality training data…
cs.CR2025
Prefill-level Jailbreak: A Black-Box Risk Analysis of Large Language Models
Yakai Li, Jiekang Hu, Weiduan Sang +7
Large Language Models face security threats from jailbreak attacks. Existing research has predominantly focused on prompt-level attacks while largely ignoring the underexplored att…