Graph invariants serve as expressive, task-agnostic baselines that characterize structural heterogeneity and match trained models across 26 datasets, indicating that expressivity is not the primary driver of performance.
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Decision theory shows that LLM cascades are structurally limited by always incurring the cheap model's cost before deciding to escalate, with the best performance given by the envelope of pairwise cascades rather than fixed chains or many stages.
Chronos encodes frequency content in decoder representations with quality that varies across the spectrum, as revealed by minimum description length probes on sinusoid inputs.
citing papers explorer
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Invariant-Based Diagnostics for Graph Benchmarks
Graph invariants serve as expressive, task-agnostic baselines that characterize structural heterogeneity and match trained models across 26 datasets, indicating that expressivity is not the primary driver of performance.
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Is Escalation Worth It? A Decision-Theoretic Characterization of LLM Cascades
Decision theory shows that LLM cascades are structurally limited by always incurring the cheap model's cost before deciding to escalate, with the best performance given by the envelope of pairwise cascades rather than fixed chains or many stages.
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Preliminary Insights in Chronos Frequency Data Understanding and Reconstruction
Chronos encodes frequency content in decoder representations with quality that varies across the spectrum, as revealed by minimum description length probes on sinusoid inputs.