LLMs primed with verified data reports predict agent solution quality at 61.5% accuracy, powering a Predict-then-Verify agent that converges 6x faster than execution-only baselines.
Neural Network with Cross-Attention explicitly models QA interaction. Pre-trained embeddings capture superior semantics compared to statistical features
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Can We Predict Before Executing Machine Learning Agents?
LLMs primed with verified data reports predict agent solution quality at 61.5% accuracy, powering a Predict-then-Verify agent that converges 6x faster than execution-only baselines.