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cs.MA2026
ChipMATE: Multi-Agent Training via Reinforcement Learning for Enhanced RTL Generation
Zhongkai Yu, Yichen Lin, Chenyang Zhou +12
Existing API-based agentic systems for RTL code generation are fundamentally misaligned with industrial practice: they assume a golden testbench is available at generation time, re…
cs.MA2026
Pancake: Hierarchical Memory System for Multi-Agent LLM Serving
Zhengding Hu, Zaifeng Pan, Prabhleen Kaur +6
In this work, we identify and address the core challenges of agentic memory management in LLM serving, where large-scale storage, frequent updates, and multiple coexisting agents j…