XGrammar-2: Efficient Dynamic Structured Generation Engine for Agentic LLMs 事件

XGrammar-2: Efficient Dynamic Structured Generation Engine for Agentic LLMs arXiv:2601.04426v3 Announce Type: replace Abstract: Modern LLM agents increasingly rely on dynamic structured generation, such as tool calling and response protocols. Unlike traditional structured generation with static structures, these workloads vary both across requests and within a request, posing new challenges to existing engines. We present XGrammar-2, a structured generation engine for dynamic agentic workloads.