Ananiadou, S. - NaCTeM Publications

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Primeiro nome(s):	S.
Sobrenome(s):	Ananiadou

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Yu, Z., Belinkov, Y. and Ananiadou, S., Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models, in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), páginas 11257–11272, 2025

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Kabir, M., Abrar, A. and Ananiadou, S., Break the Checkbox: Challenging Closed-Style Evaluations of Cultural Alignment in LLMs, in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), páginas 24–51, 2025

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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), páginas 5311 - 5318, 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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Zhang, E., Wang, J., Xiao, M., Liu, J., Kuang, Z., Dong, R., Dong, E., Ananiadou, S., Peng, M. and Xie, Q., DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel Translation, 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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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, páginas 9945–9958, 2025

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Soufleri, E. and Ananiadou, S., Enhancing Stress Detection on Social Media Through Multi-Modal Fusion of Text and Synthesized Visuals, in: Proceedings of the 24th Workshop on Biomedical Language Processing (BioNLP), páginas 34–43, 2025

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Cai, Y., Wang, F., Wang, H., Wang, K., Yang, K, Ananiadou, S., Li, M. and Fan, M., Exploring Safety Alignment Evaluation of LLMs in Chinese Mental Health Dialogues via LLM-as-Judge, 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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Xie, Z., Orel, D., Thareja, R., Sahnan, D., Madmoun, H., Zhang, F., Banerjee, D., Georgiev, G., Peng, X., Qian, L., Huang, J., Su, J., Singh, A., Xing, R., Elbadry, R., Xu, C., Li, H., Koto, F., Koychev, I., Chakraborty, T., Wang, Y., Lahlou, S., Stoyanov, V., Ananiadou, S. and Nakov, P., FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning, 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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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, páginas 13921–13934, 2025

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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, in: Proceedings of the ACM on Web Conference 2025, páginas 1153 - 1157, 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, in: Findings of the Association for Computational Linguistics: EMNLP 2025, páginas 18478–18498, 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. and Ananiadou, S., From Scores to Skills: A Cognitive Diagnosis Framework for Evaluating Financial Large Language Models, arXiv, 2025

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Yano, K., Miwa, M. and Ananiadou, S., IRIS: Rapid Curation Framework for Iterative Improvement of Noisy Named Entity Annotations, in: Proceedings of the International Conference on Applications of Natural Language to Information Systems, páginas 58-69, 2025

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Hua, Y., Liu, F., Yang, K, Li, Z., Na, H., Sheu, Y.-H., Zhou, P., Moran, L. V., Ananiadou, S., Clifton, D. A., Beam, A. and Torous, J., Large Language Models in Mental Health Care: A Scoping Review (2025), in: Current Treatment Options in Psychiatry, 12(27)

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Yu, Z. and Ananiadou, S., Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs, in: Findings of the Association for Computational Linguistics: EMNLP 2024, páginas 7065–7078, 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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Yang, K, Leng, Y., Zhang, X., Zhang, T., Thompson, P., Keavney, B., Tomaszewski, M. and Ananiadou, S., Natural Language Processing for Cardiology: A Narrative Review, arXiv, 2025

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Xiao, C., Zhao, K., Wang, X., Wu, S., Goldsack, T., Ananiadou, S., Al Moubayed, N., Zhan, L., Cheung, W. K. and Lin, C., Overview of the BioLaySumm 2025 Shared Task on Lay Summarization of Biomedical Research Articles and Radiology Reports, in: Proceedings of the 24th Workshop on Biomedical Language Processing, páginas 365–377, 2025

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Song, Y., Liu, B., Gutiérrez-Basulto, V., Hu, Z., Xie, Q., Peng, M., Ananiadou, S. and Pan, J. Z., Plan Then Retrieve: Reinforcement Learning-Guided Complex Reasoning over Knowledge Graphs, 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, in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), páginas 30176–30202, 2025

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