Unverified50% confidenceBenchmarkExact time
Compared to the strongest open-source baseline method, HMA improved the any-medal rate by 8.0 percentage points while using only one-quarter of the time budget.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/12/2026
First Seen
Valid until: 1/10/2027
Sources
Related Entities
Related Claims
UnverifiedWhen HMA is applied to a kernel optimization scenario, HMA reaches 878 optimization cycles, with a gap of only 1.6% from the top of the community leaderboard.70% similarUnverifiedThe marginal returns from moving from the High to Max inference tier are clearly diminishing: the DeepSWE score increases by only approximately 4 percentage points, while the cost increases by approximately 1.5x.62% similarUnverifiedPiPMRE achieves an average improvement of 5.6 percentage points in recall over the previous state-of-the-art methods on two public datasets.61% similarUnverifiedOracle analysis provides an upper bound on gains, showing that even if the optimal choice of whether to use PPFG were made for every problem, the benefit would be only +0.13 percentage points.60% similarUnverifiedWhen budget and timeline calculations were delegated to an external reliable process rather than inferred by the model itself, accuracy improved by as much as 42 percentage points on weaker models and only 2 to 5 percentage points on stronger models.60% similar
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