most citedSeed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning

1 citations · 1 across the 12 of their papers we have counts for

collaborators
Showing cs.CRShow all

1 paper · 1 filter

cs.CR2026

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts

Qinfeng Li, Yuntai Bao, Jianghui Hu +5

LLM agents rely on prompts to implement task-specific capabilities based on foundation LLMs, making agent prompts valuable intellectual property. However, in untrusted deployments,…