EP-HUBO treats CoT evidence selection as higher-order unconstrained binary optimization over per-hypothesis pools with quality weights to improve aggregation on legal benchmarks.
Combinato- rial reasoning: Selecting reasons in generative ai pipelines via combinatorial optimization
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A comprehensive review of scaling paths for superconducting quantum computers, with resource and sensitivity analyses for utility-scale applications under realistic error distributions.
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Quantum-Inspired Trace-Augmented Evidence Selection for Reasoning over Structured Hypothesis Spaces
EP-HUBO treats CoT evidence selection as higher-order unconstrained binary optimization over per-hypothesis pools with quality weights to improve aggregation on legal benchmarks.