Lista de publicações - NaCTeM Publications

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Liu, Z., Thompson, P., Rong, J. and Ananiadou, S., ConspEmoLLM-v2: A robust and stable model to detect sentiment-transformed conspiracy theories, in: Proceedings of the 14th Conference on Prestigious Applications of Intelligent Systems (PAIS-2025), In Press

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Luo, Z., Yuan, C., Xie, Q. and Ananiadou, S., EMPEC: A Comprehensive Benchmark for Evaluating Large Language Models Across Diverse Healthcare Professions, in: Findings of the Association for Computational Linguistics: ACL 2025, In Press

Soufleri, E. and Ananiadou, S., Enhancing Stress Detection on Social Media Through Multi-Modal Fusion of Text and Synthesized Visuals, in: Proceedings of BioNLP 2025, In Press

Xiong, G., Deng, Z., Wang, K., Cao, Y., Li, H., Yu, Y., Peng, X., Lin, M., Smith, K., Liu, X. -Y., Huang, J., Ananiadou, S. and Xie, Q., FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading, in: Findings of the Association for Computational Linguistics: ACL 2025, In Press

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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, in: Proceedings of ACL 2025, In Press

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Zhang, X., Wei, Q., Zhu, Y., Zhang, L., Zhou, D. and Ananiadou, S., SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling, in: Findings of the Association for Computational Linguistics: ACL 2025, In Press

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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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Yano, K., Luo, Z., Huang, J., Xie, Q., Asada, M., Yuan, C., Yang, K, Miwa, M., Ananiadou, S. and Tsujii, J., ELAINE-medLLM: Lightweight English Japanese Chinese Trilingual Large Language Model for Bio-medical Domain, in: Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025), páginas 4670–4688, 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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Liu, Z., Wang, K., Bao, Z., Zhang, X., Dong, J., Yang, K, Kabir, M., Giannouris, P., Xing, R., Park, S., Kim, J., Li, D., Xie, Q. and Ananiadou, S., FinNLP-FNP-LLMFinLegal-2025 Shared Task: Financial Misinformation Detection Challenge Task, in: Proceedings of the Joint Workshop of the 9th Financial Technology and Natural Language Processing (FinNLP), the 6th Financial Narrative Processing (FNP), and the 1st Workshop on Large Language Models for Finance and Legal (LLMFinLegal), páginas 271–276, 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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Zhang, X., Wei, Q., Zhu, Y., Wu, F. and Ananiadou, S., THCM-CAL: Temporal-Hierarchical Causal Modelling with Conformal Calibration for Clinical Risk Prediction, arXiv, 2025

Yu, Z. and Ananiadou, S., Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing, arXiv, 2025

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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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Dwivedi, Y. K., Hughes, L., Bhadeshia, H. K. D. H., Ananiadou, S., Cohn, A. G., Cole, J. M., Conduit, G. J., Desarkar, M. S. and Wang, X., Artificial intelligence (AI) futures: India-UK collaborations emerging from the 4th Royal Society Yusuf Hamied workshop (2024), in: International Journal of Information Management(102725)

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