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...>

| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-425 | 426-450 | 451-475 | 476-500 | 501-525 | 526-550 | 551-575 | 576-582 |

Partalidou, E., Passali, T., Zerva, C., Tsoumakas, G. und Ananiadou, S., Towards Trustworthy Summarization of Cardiovascular Articles: A Factuality-and-Uncertainty-Aware Biomedical LLM Approach, in: Proceedings of the 2nd Workshop on Uncertainty-Aware NLP (UncertaiNLP 2025), Seiten 200–207, 2025

[DOI]
[URL]

Kabir, M., Ahmed, T., Rahman, M. M., Giannouris, P. und Ananiadou, S., Semantic Label Drift in Cross-Cultural Translation, arXiv, 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]

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]

Qian, L., Peng, X., Wang, Y., Zhang, V. J., He, H., Smith, H., Han, Y., He, Y., Li, H., Cao, Y., Yu, Y., Lopez-Lira, A., Lu, P., Nie., J. -Y., Xiong, G., Huang, J. und Ananiadou, S., When Agents Trade: Live Multi-Market Trading Benchmark for LLM Agents, arXiv, 2025

[DOI]
[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]

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]

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]

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]

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]

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]

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., 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]

Yang, K, Liu, Z., Xie, Q., Huang, J., Min, E. und Ananiadou, S., Selective Preference Optimization via Token-Level Reward Function Estimation, in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), Seiten 7032–7056, 2025

[DOI]
[URL]

Zhang, X., Wei, Q., Zhu, Y., Wu, F. und Ananiadou, S., THCM-CAL: Temporal-Hierarchical Causal Modelling with Conformal Calibration for Clinical Risk Prediction, in: Findings of the Association for Computational Linguistics: EMNLP 2024, Seiten 916–928, 2025

[DOI]
[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]

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]

Vasquez-Rodriguez, L., Nguyen, N. T. H., Przybyɫa, P. und Shardlow, M., Simple is not Enough: Document-level Text Simplification using Readability and Coherence, arXiv, 2024

[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]

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., 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]

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]

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]

Zhang, X., Wei, Q., Zhu, Y., Zhang, L., Zhou, D. und 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, Seiten 16338–16356, 2025

[DOI]
[URL]

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

[URL]

Ausführdauer: 0.0657 Sekunden.