By Mr Tong Xie

Preprints

Xie T; Wan Y; Liu Y; Zeng Y; Wang S; Zhang W; Grazian C; Kit C; Ouyang W; Zhou D; Hoex B, 2025, Large Language Models as Materials Science Adapted Learners, http://dx.doi.org/10.21203/rs.3.rs-6752901/v1

Xie T; Wan Y; Liu Y; Zeng Y; Wang S; Zhang W; Grazian C; Kit C; Ouyang W; Zhou D; Hoex B, 2024, DARWIN 1.5: Large Language Models as Materials Science Adapted Learners, http://dx.doi.org/10.48550/arxiv.2412.11970

Xie T; Zhang H; Wang S; Wan Y; Razzak I; Kit C; Zhang W; Hoex B, 2024, ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity, http://dx.doi.org/10.48550/arxiv.2411.12000

Wan Y; Xie T; Wu N; Zhang W; Kit C; Hoex B, 2024, From Tokens to Materials: Leveraging Language Models for Scientific Discovery, http://dx.doi.org/10.48550/arxiv.2410.16165

Wan Y; Liu Y; Ajith A; Grazian C; Hoex B; Zhang W; Kit C; Xie T; Foster I, 2024, SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained Evaluation, http://dx.doi.org/10.48550/arxiv.2405.09939

Ye Y; Ren J; Wang S; Wan Y; Razzak I; Hoex B; Wang H; Xie T; Zhang W, 2024, Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model, http://dx.doi.org/10.48550/arxiv.2404.03080

Xie T; Wan Y; Huang W; Yin Z; Liu Y; Wang S; Linghu Q; Kit C; Grazian C; Zhang W; Razzak I; Hoex B, 2023, DARWIN Series: Domain Specific Large Language Models for Natural Science, http://dx.doi.org/10.48550/arxiv.2308.13565

Xie T; Wan Y; Huang W; Zhou Y; Liu Y; Linghu Q; Wang S; Kit C; Grazian C; Zhang W; Hoex B, 2023, Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT, http://dx.doi.org/10.48550/arxiv.2304.02213

Xie T; Wan Y; Li W; Linghu Q; Wang S; Cai Y; Liu H; Kit C; Grazian C; Hoex B, 2022, Interdisciplinary Discovery of Nanomaterials Based on Convolutional Neural Networks, http://dx.doi.org/10.48550/arxiv.2212.02805

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