Xie, Q. - NaCTeM Publications - Aigaion 2.0

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Goldsack, T., Luo, Z., Xie, Q., Scarton, C., Shardlow, M., Ananiadou, S. und Lin, C., BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles, in: Proceedings of BioNLP 2023, Seiten 468–477, 2023

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Luo, Z., Xie, Q. und Ananiadou, S., CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization, in: Proceedings of the ACM Web Conference, Seiten 1843–1852, 2023

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Yang, K, Ji, S., Zhang, T., Xie, Q., Kuang, Z. und Ananiadou, S., Towards Interpretable Mental Health Analysis with Large Language Models, in: Proceedings of EMNLP 2023, Seiten 6056–6077, 2023

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Yuan, C., Xie, Q. und Ananiadou, S., Zero-shot Temporal Relation Extraction with ChatGPT, in: Proceedings of BioNLP 2023, Seiten 92–102, 2023

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Bishop, J., Xie, Q. und Ananiadou, S., GenCompareSum: a hybrid unsupervised summarization method using salience, in: Proceedings of BioNLP 2022, Seiten 220–240, 2022

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Xie, Q., Huang, J., Saha, T und Ananiadou, S., GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization, in: Proceedings of COLING, Seiten 6259–6269, 2022

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Luo, Z., Xie, Q. und Ananiadou, S., Readability Controllable Biomedical Document Summarization, in: Findings of the Association for Computational Linguistics: EMNLP 2022, Seiten 4667–4680, 2022

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Xie, Q., Huang, J., Du, P., Peng, M. und Nie., J. -Y., Inductive Topic Variational Graph Auto-Encoder for Text Classification, in: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

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Zhang, E., Wang, J., Xiao, M., Liu, J., Kuang, Z., Dong, R., Dong, E., Ananiadou, S., Peng, M. und Xie, Q., DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel Translation, arXiv, 2025

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Cao, Y., Li, H., Yu, Y., Reddy Javaji, S., He, Y., Huang, J., Zhu, Z., Xie, Q., Liu, X. -Y., Subbalakshmi, K., Qiu, M., Ananiadou, S. und Nie., J. -Y., FinAudio: A Benchmark for Audio Large Language Models in Financial Applications, arXiv, 2025

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Kuang, Z., Zhu, F., Jiang, M., Lai, Y., Wang, Zelin, Wang, Zhitong, Qiu, M., Huang, Jiajia, Peng, M., Xie, Q. und Ananiadou, S., From Scores to Skills: A Cognitive Diagnosis Framework for Evaluating Financial Large Language Models, arXiv, 2025

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Liu, Z., Qian, L., Xie, Q., Huang, J., Yang, K und Ananiadou, S., MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs, arXiv, 2025

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Peng, X., Qian, L., Wang, Y., Xiang, R., He, Y., Ren, Y., Jiang, M., Zhao, J., He, H., Han, Y., Feng, Y., Jiang, Y., Cao, Y., Li, H., Yu, Y., Wang, X., Gao, P., Lin, S., Wang, K., Yang, S., Zhao, Y., Liu, Z., Lu, P., Huang, J., Wang, S., Papadopoulos, T., Giannouris, P., Soufleri, E., Chen, N., Xiong, G., Deng, Z., Zhao, Y., Lin, M., Qiu, M., Smith, K., Cohan, A., Liu, X. -Y., Lopez-Lira, A., Chen, X., Tsujii, J., Nie, J., Ananiadou, S. und Xie, Q., MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation, arXiv, 2025

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Song, Y., Liu, B., Gutiérrez-Basulto, V., Hu, Z., Xie, Q., Peng, M., Ananiadou, S. und Pan, J. Z., Plan Then Retrieve: Reinforcement Learning-Guided Complex Reasoning over Knowledge Graphs, arXiv, 2025

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Xiao, M., Jiang, Z., Qian, L., Chen, Z., He, Y., Xu, Y., Jiang, Y., Li, D., Weng, R. -L., Peng, M., Huang, J., Ananiadou, S. und Xie, Q., Retrieval-augmented Large Language Models for Financial Time Series Forecasting, arXiv, 2025

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Luo, Z., Yuan, C., Xie, Q. und 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. und Ananiadou, S., FMDLlama: Financial Misinformation Detection based on Large Language Models, arXiv, 2024

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Hu, G., Qin, K., Yuan, C., Peng, M., Lopez-Lira, A., Wang, B., Ananiadou, S., Huang, J. und 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. und Ananiadou, S., Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications, arXiv, 2024

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

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

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

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