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ChipMATE

4 atoms · 跨 1 天 · 首见 2026-05-14 · 最近 2026-05-14

三色: 🟦 fact 4 · 🟥 take 0 · stance ▲1/▼0/◆0

来源: X 4

时态: fresh:4

标签: 好思考:2 · 好信源:1 · 好数字:1 · 好观点:1

2026-05-14 · ChipMATE 在 VerilogEval V2 上 pass@1 达到 75.0% 和 80.1%
ChipMATE achieves 75.0% and 80.1% pass@1 on VerilogEval V2 with 4B and 9B base models, outperforming all existing self-trained models and even DeepSeek V4 with 1600B parameters.
tags: 好数字·好观点 · → daily
value: qty=75.0% 和 80.1% · date=2026-05-14
2026-05-14 · ChipMATE 是自训练多智能体框架
In this paper is presented ChipMATE, the first self-trained multi-agent framework for RTL code generation that supports fully offline deployment.
tags: 好信源 · → daily
2026-05-14 · ChipMATE 使用 Verilog agent 和 Python reference-model agent 交叉验证
ChipMATE pairs a Verilog agent with a Python reference-model agent that cross-verify outputs without any golden testbench or cloud-LLM API.
tags: 好思考 · → daily
2026-05-14 · ChipMATE 设计包括回溯推理工作流和两阶段训练流程
ChipMATE is designed with a backtrack-based inference workflow to prevent error propagation across turns and a two-stage training pipeline that first trains each agent individually to saturate its code-generation capability, then trains the team jointly to collaborate effectively
tags: 好思考 · → daily

2026-05-14 · fact · ChipMATE 是自训练多智能体框架 · → daily
2026-05-14 · fact · ChipMATE 使用 Verilog agent 和 Python reference-model agent 交叉验 · → daily
2026-05-14 · fact · ChipMATE 设计包括回溯推理工作流和两阶段训练流程 · → daily
2026-05-14 · fact · ChipMATE 在 VerilogEval V2 上 pass@1 达到 75.0% 和 80.1% · → daily