31 citations · 110 across the 10 of their papers we have counts for
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cs.CL2025
Diverse LLMs or Diverse Question Interpretations? That is the Ensembling Question
Rafael Rosales, Santiago Miret
Effectively leveraging diversity has been shown to improve performance for various machine learning models, including large language models (LLMs). However, determining the most ef…
cond-mat.mtrl-sci2025★ 1 cited
Materials Graph Library (MatGL), an open-source graph deep learning library for materials science and chemistry
Tsz Wai Ko, Bowen Deng, Marcel Nassar +7
Graph deep learning models, which incorporate a natural inductive bias for a collection of atoms, are of immense interest in materials science and chemistry. Here, we introduce the…
cond-mat.mtrl-sci2025★ 15 cited
Foundational Large Language Models for Materials Research
Vaibhav Mishra, Somaditya Singh, Dhruv Ahlawat +7
Materials discovery and development are critical for addressing global challenges. Yet, the exponential growth in materials science literature comprising vast amounts of textual da…