Author

Bo An

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#artificial intelligence Preprint Oct 2026

FrontierMat: Benchmarking Language Models at the Frontier of Materials R&D

FrontierMat, a benchmark of 330 problems drawn from frontier academic and industrial research in fields including aerospace, semiconductors, embodied intelligence and nuclear fusion, is introduced, providing a testbed for measuring progress toward language models that support frontier materials R&D.

Feng Chen, Jian-Guo Huang, Yu-Shan Xiao et al. · 0 citations

#machine learning Preprint Sep 2026

DE-Venus: A Data-Efficient RLVR Framework for Large Language Models

DE-Venus is presented, a unified framework for data-efficient RLVR that treats supervision as evolving state across data preparation and policy optimization and reduces annotation and training costs without sacrificing scalable RL execution.

Shen-Zhi Yang, Guang-Cheng Zhu, Kai Tang et al. · 1 citation