Unverified50% confidenceFactExact time
In combinatorial spaces with dimensionality up to 6000+, traditional BO cannot run due to computational bottlenecks, whereas the new method can search efficiently.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/22/2026
First Seen
Valid until: 1/20/2027
Sources
Related Entities
Related Claims
UnverifiedWhen the parameter space is generalized from finite dimensions to an infinite-dimensional function space, the inner optimization problem of maximizing the acquisition function becomes neither exhaustively searchable nor readily amenable to direct gradient descent.67% similarUnverifiedIn multi-hop scenarios, intermediate nodes are semantically distant from the original question and are not adjacent in the vector space, causing the retriever to fail to include them in the candidate set.66% similarVerifiedExisting methods for mitigating the sim-to-real gap include domain randomization and system identification, but neither has fundamentally eliminated this gap.64% similarUnverifiedFor suitably highly structured sequences, the new algorithm runs in quasi-linear time and requires only polylogarithmic space.63% similarUnverifiedAnthropic found that under strict per-task CPU and memory limits, as many as 6% of Terminal-Bench tasks failed due to pod errors unrelated to the model; after loosening the limits, scores moved by up to 6 percentage points.63% similar
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