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#machine learning Preprint Sep 2026

CompassPlay: Rewarding the Proposer for Where It Moves the Solver

In self-play, a proposer generates verifiable tasks to train a solver. Proposer rewards often depend on the solver's success rate, but equally difficult tasks can differ in their training value. We introduce CompassPlay, a self-play method that rewards the proposer through gradient alignment. The reward favors tasks wh...

Sophia Xiao Pu, Xi-Meng Sun, Jiang Liu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Instella-MoE Technical Report

Instella-MoE is introduced, a fully open Mixture-of-Experts (MoE) language model with 16 billion total parameters and 2.8 billion active parameters per token trained entirely from scratch on AMD Instinct MI300X and MI325X GPUs, establishing a strong, fully open foundation for efficient, high-performing MoE models and r...

Jiang Liu, Sudhanshu Ranjan, Prakamya Mishra et al. · 0 citations

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