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Ninomiya, T., Tsuruoka, Y., Miyao, Y. and Tsujii, J., Efficacy of Beam Thresholding, Unification Filtering and Hybrid Parsing in Probabilistic HPSG Parsing, in: Proceedings of IWPT 2005, pages 103--114, 2005

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Matsuzaki, T., Miyao, Y. and Tsujii, J., Probabilistic CFG with Latent Annotations, in: Proceedings of ACL 2005, pages 75--82, 2005

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Miyao, Y. and Tsujii, J., Probabilistic disambiguation models for wide-coverage HPSG parsing, in: Proceedings of ACL 2005, pages 83--90, 2005

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Nakanishi, H., Miyao, Y. and Tsujii, J., An Empirical Investigation of the Effect of Lexical Rules on Parsing with a Treebank Grammar, in: Proceedings of The Third Workshop on Treebanks and Lingustic Theories (TLT 2004), pages 103--114, 2004

Chun, H.-W., Ohta, T., Kim, J.-D. and Tsujii, J., Building Patterns for Biomedical Event Extraction, in: Proceedings of the 15th International conference on Genome Informatics (GIW), pages 163--164, 2004

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Miyao, Y. and Tsujii, J., Deep Linguistic Analysis for the Accurate Identification of Predicate-Argument Relations, in: Proceedings of COLING 2004, pages 1392-1397, 2004

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NenadiÄ‡, G., Ananiadou, S. and McNaught, J., Enhancing automatic term recognition through recognition of variation, in: Proceedings of COLING 2004, pages 604--610, Association for Computational Linguistics, 2004

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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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Yu, Z., Belinkov, Y. and Ananiadou, S., Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models, arXiv, 2025

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Kabir, M., Abrar, A. and Ananiadou, S., Break the Checkbox: Challenging Closed-Style Evaluations of Cultural Alignment in LLMs, arXiv, 2025

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Xu, B., Liu, Z. and Ananiadou, S., Disentangled VAD Representations via a Variational Framework for Political Stance Detection, 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. and Nie., J. -Y., FinAudio: A Benchmark for Audio Large Language Models in Financial Applications, arXiv, 2025

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Kabir, M., Tahsin, T. and Ananiadou, S., From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modelin, arXiv, 2025

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Yu, Z. and Ananiadou, S., Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs, arXiv, 2025

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Liu, Z., Qian, L., Xie, Q., Huang, J., Yang, K and 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. and Xie, Q., MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation, arXiv, 2025

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Peng, X., Papadopoulos, T., Soufleri, E., Giannouris, P., Xiang, R., Wang, Y., Qian, L., Huang, J., Xie, Q. and Ananiadou, S., Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance, arXiv, 2025

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Abrar, A., Tabassum Oeshy, N., Kabir, M. and Ananiadou, S., Religious Bias Landscape in Language and Text-to-Image Models: Analysis, Detection, and Debiasing Strategies, 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. and Xie, Q., Retrieval-augmented Large Language Models for Financial Time Series Forecasting, arXiv, 2025

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Liu, Z., Yang, K, Hovy, E. and Ananiadou, S., Rumor Detection by Multi-task Suffix Learning based on Time-series Dual Sentiments, arXiv, 2025

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Vasilakes, J., Zerva, C. and Ananiadou, S., Subjective Logic Encodings, arXiv, 2025

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