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2020 – today
- 2024
[c3]Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. ACL (Findings) 2024: 5353-5377- [i4]Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. CoRR abs/2405.14225 (2024) - [i3]Sihang Li, Jin Huang, Jiaxi Zhuang, Yaorui Shi, Xiaochen Cai, Mingjun Xu, Xiang Wang, Linfeng Zhang, Guolin Ke, Hengxing Cai:
SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding. CoRR abs/2408.15545 (2024) - 2023
- [c2]Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang:
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. EMNLP (Findings) 2023: 5506-5520 - [c1]Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. NeurIPS 2023 - [i2]Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang:
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. CoRR abs/2310.13590 (2023) - [i1]Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. CoRR abs/2310.14753 (2023)
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