ParaThinker trains LLMs for native parallel reasoning and reports 7 to 12 percent higher accuracy on math benchmarks over sequential thinking with modest latency overhead.
Are more llm calls all you need? towards the scaling properties of compound ai systems
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ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute
ParaThinker trains LLMs for native parallel reasoning and reports 7 to 12 percent higher accuracy on math benchmarks over sequential thinking with modest latency overhead.