Unverified50% confidenceFactExact time
The study compares five budget-matched continuous optimizers (including a hybrid swarm optimization with L-BFGS-B refinement) against the candidate-pool method, covering 11 problems (dimensions from 2 to 100).
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11/3/2026
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UnverifiedThe paper evaluates FADE on five reasoning benchmarks, two base models, and four scheduling paradigms, with all experiments conducted under matched generation budgets, and FADE consistently improves downstream accuracy and calibration.78% similarUnverifiedVariance-based contrastive optimization identifies problems in planning and tool invocation by contrasting samples with different performance levels.72% similarUnverifiedThe researchers constructed a benchmark test set called ALIGNMENTFORECASTBENCH, covering more than 5,000 prediction questions, 17 target models, 32 datasets, and 16 failure modes.71% similarUnverifiedThe research team selected 8 models spanning different capability tiers and conducted cross-evaluations across 54 benchmarks69% similarUnverifiedThe experiments were tested across six heterogeneous benchmarks.69% similar
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