Publikationsliste - NaCTeM Publications

ANSICHT
EXPORT
- Alle Publikationen exportieren
SORTIERE NACH
- Autor
- Titel
- Typ/Zeitschrift
- Jahr
- Erstelldatum
SYSTEM
- Hilfe
- Über diese Seite
GASTNUTZER
Guest
ANMELDUNG
Name:

Passwort:

Deutsch, English, Nederlands, Norsk, Português, <mehr...>

Yu, Z., Belinkov, Y. und 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), Seiten 11257–11272, 2025

[DOI]
[URL]

Kabir, M., Abrar, A. und 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), Seiten 24–51, 2025

[DOI]
[URL]

Liu, Z., Thompson, P., Rong, J. und 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), Seiten 5311 - 5318, 2025

[URL]

Xu, B., Liu, Z. und Ananiadou, S., Disentangled VAD Representations via a Variational Framework for Political Stance Detection, arXiv, 2025

[URL]

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

[DOI]
[URL]

Yano, K., Luo, Z., Huang, J., Xie, Q., Asada, M., Yuan, C., Yang, K, Miwa, M., Ananiadou, S. und 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), Seiten 4670–4688, 2025

[URL]

Luo, Z., Yuan, C., Xie, Q. und 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, Seiten 9945–9958, 2025

[DOI]
[URL]

Soufleri, E. und 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), Seiten 34–43, 2025

[DOI]
[URL]

Cai, Y., Wang, F., Wang, H., Wang, K., Yang, K, Ananiadou, S., Li, M. und Fan, M., Exploring Safety Alignment Evaluation of LLMs in Chinese Mental Health Dialogues via LLM-as-Judge, arXiv, 2025

[DOI]
[URL]

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

[URL]

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. und Nakov, P., FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning, arXiv, 2025

[DOI]
[URL]

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. und 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), Seiten 271–276, 2025

[URL]

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. und 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, Seiten 13921–13934, 2025

[DOI]
[URL]

Liu, Z., Zhang, X., Yang, K, Xie, Q., Huang, J. und Ananiadou, S., FMDLlama: Financial Misinformation Detection Based on Large Language Models, in: Proceedings of the ACM on Web Conference 2025, Seiten 1153 - 1157, 2025

[DOI]
[URL]

Kabir, M., Tahsin, T. und 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, Seiten 18478–18498, 2025

[DOI]
[URL]

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

[DOI]
[URL]

Yano, K., Miwa, M. und 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, Seiten 58-69, 2025

[DOI]
[URL]

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. und Torous, J., Large Language Models in Mental Health Care: A Scoping Review (2025), in: Current Treatment Options in Psychiatry, 12(27)

[DOI]
[URL]

Yu, Z. und 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, Seiten 7065–7078, 2025

[DOI]
[URL]

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

[URL]

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

[URL]

Yang, K, Leng, Y., Zhang, X., Zhang, T., Thompson, P., Keavney, B., Tomaszewski, M. und Ananiadou, S., Natural Language Processing for Cardiology: A Narrative Review, arXiv, 2025

[DOI]
[URL]

Xiao, C., Zhao, K., Wang, X., Wu, S., Goldsack, T., Ananiadou, S., Al Moubayed, N., Zhan, L., Cheung, W. K. und 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, Seiten 365–377, 2025

[DOI]
[URL]

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

[DOI]
[URL]

Peng, X., Papadopoulos, T., Soufleri, E., Giannouris, P., Xiang, R., Wang, Y., Qian, L., Huang, J., Xie, Q. und 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), Seiten 30176–30202, 2025

[DOI]
[URL]

Ausführdauer: 0.0745 Sekunden.