Differentiable programming connects scientific computation with gradient-based inference, learning and design. Extending these capabilities across a heterogeneous software ecosystem requires specialized effort to implement derivatives, integrate interfaces and evaluate quality. AI coding agents can accelerate this tran...
Peng-Cheng Hou, Xiao-Jun Tan, Si-Han Hu et al.· 0 citations
The Large Knowledge Model is proposed, a growing, agent-native knowledge foundation that provides a general representation of scientific knowledge across disciplines and an agent-native, reasoning-aware scientific retrieval system that retrieves claims together with their reasoning chains and sources, enabling agents t...
Yuan Huang, Si-Han Hu, Hong-Yu Gu et al.· 0 citations
State-of-the-art models are far more proficient in scientific coding than SciCode has suggested---the bottleneck was not model capability, but the quality of the evaluation instrument.
Sihan Hu, Lyuhan Huang, You-Jin Deng et al.· 0 citations
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