2 papers
cond-mat.mtrl-sci2026
Deep learning driven framework for optimization of polycrystalline microstructures under competing strength requirements
Ashwini Gupta, Indrashish Saha, Lori Graham-Brady +1
Computational design of polycrystalline microstructures for enhanced mechanical performance requires repeated high-fidelity simulations over stochastic morphologies, rendering conv…
cs.LG2026
Rethinking Perplexity: Revealing the Impact of Input Length on Perplexity Evaluation in LLMs
Letian Cheng, Junyan Wang, Yan Gao +3
Perplexity is a widely adopted metric for assessing the predictive quality of large language models (LLMs) and often serves as a reference metric for downstream evaluations. Howeve…