The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, leading to more robust and accurate problem-solving.
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Back to the future: Is light-speed analog computing on the horizon?
Scientists have achieved a breakthrough in analog computing, developing a programmable electronic circuit that harnesses the ...
Since Google Gemini attributed part of its success in mathematics competitions to 'parallel thinking', how to enable large models to master the ability to explore multiple reasoning paths in parallel ...
Since Google Gemini attributed part of its success in the Mathematics Olympiad to 'parallel thinking', how to enable large models to grasp the ability to explore multiple reasoning paths in parallel ...
"The Meaning of July Fourth for the Negro" Fellow Citizens, I am not wanting in respect for the fathers of this republic. The signers of the Declaration of Independence were brave men. They were great ...
This chapter introduces first‐order circuits in both time and frequency domain. The time domain response from initial conditions is called natural or zero‐input response (ZIR). The time domain ...
Abstract: In the parallel SiC MOSFETs circuit, ignoring the influence of the different parameters of the chip itself, only the parasitic inductance and the initial case temperature of the SiC MOSFET ...
作者您好！感谢您的工作。我有个地方不太确定：parallel-r1在rl训练时候，假如grpo的group是8，每个response里面有5条子轨迹（5个子轨迹），是不是意味着每个question需要rollout的次数是8*5=40？
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