Daniel S. Karls — accepted AI-conference papers

2024

Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification

Zeren Shui, Petros Karypis, Daniel S. Karls, Mingjian Wen, Saurav Manchanda, Ellad B. Tadmor +1

EMNLP 2024finding

Citation intention Classification (CIC) tools classify citations by their intention (e.g., background, motivation) and assist readers in evaluating the contribution of scientific literature. Prior research has shown that pretrained language models (PLMs) such as SciBERT can achieve state-of-the-art…

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2022

Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties

Zeren Shui, Daniel S. Karls, Mingjian Wen, ilia Andreyevich Nikiforov, Ellad Tadmor, George Karypis

NeurIPS 2022accept

For decades, atomistic modeling has played a crucial role in predicting the behavior of materials in numerous fields ranging from nanotechnology to drug discovery. The most accurate methods in this domain are rooted in first-principles quantum mechanical calculations such as density functional theor…

Cited by 11 Source ↗PDF ↗code ↗Scholar ↗