2 papers
cs.AI2026
XGrammar-2: Dynamic and Efficient Structured Generation Engine for Agentic LLMs
Linzhang Li, Yixin Dong, Guanjie Wang +3
Modern LLM agents increasingly rely on dynamic structured generation, such as tool calling and response protocols. Unlike traditional structured generation with static structures,…
cs.AI2026
FlashInfer-Bench: Building the Virtuous Cycle for AI-driven LLM Systems
Shanli Xing, Yiyan Zhai, Alexander Jiang +10
Recent advances show that large language models (LLMs) can act as autonomous agents capable of generating GPU kernels, but integrating these AI-generated kernels into real-world in…