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Saturated LLM benchmarks can be revived without creating new datasets: a self-improving LLM judge in an elimination tournament recovers ranking signal and breaks ties.
Ditch the deep thought: this new agentic search framework slashes reasoning steps by 70% while boosting accuracy by prioritizing parallel evidence gathering.
