Unverified50% confidenceBenchmarkExact time

Across six configurations covering five groups of heterogeneous agent combinations, HMA improved the any-medal rate by an average of 6.4 percentage points over its constituent baseline agents.

1

Sources

50%

Confidence

Medium-term (~90 days)

Relevance

10/12/2026

First Seen

Valid until: 1/10/2027

Sources

HMA Multi-Agent Alternation Framework: Breaking the Monolithic Bottleneck in Long-Horizon ML Engineering

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UnverifiedGLM-5.3在六项评测中的成绩为：终端编程基准3.0得28.3、深度软件工程基准得66.9、智能体中场考试得28.5、自动化基准得48.2、带工具的人类终极考试得62.5、GDP价值评估AA2版得17.6967% similar UnverifiedHMA achieved an any-medal rate of 78.2% on the MLE-bench benchmark (covering 75 Kaggle tasks), setting a new state-of-the-art (SOTA).67% similar

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