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Language models can learn to directly sample high-probability answers, achieving significant reasoning gains without parameter updates or costly search.
Achieve 50% lower latency in Verilog code generation without sacrificing accuracy by adaptively escalating between LLMs based on diagnostic feedback and formal verification.
