| Neural network training method for materials science based on multi-source databases J Guo, Z Chen, Z Liu, X Li, Z Xie, Z Wang, Y Wang Scientific Reports 12 (1), 15326, 2022 | 8 | 2022 |
| The FinBen: An Holistic Financial Benchmark for Large Language Models Q Xie, W Han, Z Chen, R Xiang, X Zhang, Y He, M Xiao, D Li, Y Dai, ... arXiv preprint arXiv:2402.12659, 2024 | 6 | 2024 |
| Emotion detection for misinformation: A review Z Liu, T Zhang, K Yang, P Thompson, Z Yu, S Ananiadou Information Fusion, 102300, 2024 | 6 | 2024 |
| Emollms: A series of emotional large language models and annotation tools for comprehensive affective analysis Z Liu, K Yang, T Zhang, Q Xie, Z Yu, S Ananiadou KDD 2024, 2024 | 5 | 2024 |
| Swarm intelligence for new materials Z Liu, J Guo, Z Chen, Z Wang, Z Sun, X Li, Y Wang Computational Materials Science 214, 111699, 2022 | 4 | 2022 |
| A Review of Material Research and Development Methods Based on Computer Technology GUO Jialong, W Zongguo, W Yangang, Z Xushan, SU Yanjing, LIU Zhiwei Frontiers of Data and Domputing 3 (2), 120-132, 2021 | 3 | 2021 |
| ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model Z Liu, B Liu, P Thompson, K Yang, R Jain, S Ananiadou arXiv preprint arXiv:2403.06765, 2024 | 1 | 2024 |
| RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information Z Liu, K Yang, Q Xie, C de Kock, S Ananiadou, E Hovy arXiv preprint arXiv:2406.11093, 2024 | | 2024 |
| MetaAligner: Conditional Weak-to-Strong Correction for Generalizable Multi-Objective Alignment of Language Models K Yang, Z Liu, Q Xie, T Zhang, N Song, J Huang, Z Kuang, S Ananiadou arXiv preprint arXiv:2403.17141, 2024 | | 2024 |
| A Genetic Algorithm-Based Artificial Network Method for Material Feature Recombination J Guo, Z Liu, Z Wang, Y Hu, J Wang, Y Wang 2021 IEEE 6th International Conference on Smart Cloud (SmartCloud), 144-148, 2021 | | 2021 |
