Author

Ye Liu

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Preprint Oct 2026

SPECMEM: Accelerating Agentic Tool Calling via Live Memory Management

Tool-calling agents are mostly optimized for accuracy; in deployment, however, their growing cost is latency: every tool call is decoded autoregressively. Speculative decoding accelerates this without changing the output, and retrieved past calls make strong drafts under real use, where each user's behavior tends to re...

Zi-He Song, Wen-Ting Zhao, Ye Liu et al. · 0 citations

#artificial intelligence May 2026

Exploring Autonomous Agentic Data Engineering for Model Specialization

This study formalizes Autonomous Agentic Data Engineering, a novel task designed to evaluate LLMs as autonomous data engineers that drive model specialization through end-to-end data curation, and charts a path toward agent-driven model specialization.

Yujie Luo, Xiangyuan Ru, Jingsheng Zheng et al. · arXiv.org · 2 citations