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Kim, J.-D., Ohta, T., Tsuruoka, Y., Tateisi, Y. and Collier, N., Introduction to the Bio-Entity Recognition Task at JNLPBA, in: Proceedings of the International Workshop on Natural Language Processing in Biomedicine and its Applications (JNLPBA-04), pages 70--75, 2004

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Tateisi, Y. and Tsujii, J., Part-of-Speech Annotation of Biology Research Abstracts, in: Proceedings of 4th International Conference on Language Resources and Evaluation (LREC 2004), pages 1267-1270, 2004

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Tsuruoka, Y., Miyao, Y. and Tsujii, J., Towards efficient probabilistic HPSG parsing: integrating semantic and syntactic preference to guide the parsing, in: Proceedings of IJCNLP-04 Workshop: Beyond shallow analyses - Formalisms and statistical modeling for deep analyses, 2004

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Thew, S., Sutcliffe, A., de Bruijn, O., McNaught, J., Procter, R., Venters, C.C. and Buchan, I., Experience in e-Science Requirements Engineering, pages 277-282, 2008

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Nghiem, M-. Q., Baylis, P., Freitas, A. and Ananiadou, S., Text Classification and Prediction in the Legal Domain, pages 4717-4722, 2022

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Luo, Z., Yuan, C., Xie, Q. and Ananiadou, S., Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams, arXiv, 2024

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Liu, Z., Zhang, X., Yang, K, Xie, Q., Huang, J. and Ananiadou, S., FMDLlama: Financial Misinformation Detection based on Large Language Models, arXiv, 2024

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Yano, K., Miwa, M. and Ananiadou, S., IRIS: Iterative Improvement of Distantly Supervised Named Entity Annotations, Research Square, 2024

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Hua, Y., Liu, F., Yang, K, Li, Z., Sheu, Y., Zhou, P., Moran, L. V., Ananiadou, S. and Beam, A., Large Language Models in Mental Health Care: a Scoping Review, arXiv, 2024

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Hu, G., Qin, K., Yuan, C., Peng, M., Lopez-Lira, A., Wang, B., Ananiadou, S., Huang, J. and Xie, Q., No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks, arXiv, 2024

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Xie, Q., Li, D., Xiao, M., Jiang, Y., Xiang, R., Zhang, X., Chen, Z., He, Y., Han, W., Yang, Y., Chen, S., Zhang, Y., Shen, L., Kim, D., Liu, Z., Luo, Z., Yu, Y., Cao, Y., Deng, Z., Yao, Z., Li, H., Feng, D., Dai, Y., Somasundaram, V., Lu, P., Zhao, Y., Long, Y., Xiong, G., Smith, K., Yu, H., Lai, Y., Peng, M., Nie, J., Suchow, J., Liu, X. -Y., Wang, B., Lopez-Lira, A., Huang, J. and Ananiadou, S., Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications, arXiv, 2024

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Liu, Z., Yang, K, Xie, Q., de Kock, C., Ananiadou, S. and Hovy, E., RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information, arXiv, 2024

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Yang, K, Liu, Z., Xie, Q., Huang, J., Min, E. and Ananiadou, S., Selective Preference Optimization via Token-Level Reward Function Estimation, arXiv, 2024

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Luo, Z., Xie, Q. and Ananiadou, S., The Lay Person’s Guide to Biomedicine: Orchestrating Large Language Models, arXiv, 2024

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Yu, Z. and Ananiadou, S., Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering, arXiv, 2024

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Xie, Q., Luo, Z. and Ananiadou, S., A Survey for Biomedical Text Summarization: From Pre-trained to Large Language Models, arXiv, 2023

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Luo, Z., Xie, Q. and Ananiadou, S., ChatGPT as a Factual Inconsistency Evaluator for Text Summarization, arXiv, 2023

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Ji, S., Zhang, T., Yang, K and Ananiadou, S., Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health, arXiv, 2023

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Ji, S., Zhang, T., Yang, K and Ananiadou, S., Rethinking large language models in mental health applications, arXiv, 2023

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Selected articles from the BioNLP Shared Task 2011, 2012

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Second International Symposium on Semantic Mining in Biomedicine (SMBM), 2006

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