Publicatielijst - NaCTeM Publications - Aigaion 2.0

BEKIJK
EXPORTEER
- Exporteer alle publicaties
SORTEER OP
- Auteur
- Titel
- Type/tijdschrift
- Jaar
- Toevoegdatum
SYSTEEM
- Help
- Over deze site
GASTGEBRUIKER
Guest
AANMELDEN
Naam:

wachtwoord:

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

Beste gast, welkom bij deze publicatiedatabase. Als anonieme gebruiker zul je waarschijnlijk geen rechten hebben om iets aan te passen. Ook kan je de hierarchie van onderwerpen niet blijvend open- of dichtklappen. Als je deze, en andere, mogelijkeheden ook wil hebben, zou je contact op kunnen nemen met Admin voor het aanvragen van een gebruikersaccount.

Deze site draait op Aigaion - een PHP/Web gebaseerde database voor gedeelde en geannoteerde bibliografieën. Bezoek voor meer informatie www.aigaion.de.

| 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 |

Yu, Z. en Ananiadou, S., How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pagina's 3281–3292, 2024

[DOI]
[URL]

Yu, Z. en Ananiadou, S., Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pagina's 3293–3306, 2024

[DOI]
[URL]

Yano, K., Miwa, M. en Ananiadou, S., IRIS: Iterative Improvement of Distantly Supervised Named Entity Annotations, Research Square, 2024

[DOI]
[URL]

Hua, Y., Liu, F., Yang, K, Li, Z., Sheu, Y., Zhou, P., Moran, L. V., Ananiadou, S. en Beam, A., Large Language Models in Mental Health Care: a Scoping Review, arXiv, 2024

[URL]

Bishop, J., Xie, Q. en Ananiadou, S., LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation, in: Proceedings of LREC-COLING 2024, pagina's 10777-10789, 2024

[URL]

Yang, K, Zhang, T., Kuang, Z., Xie, Q., Huang, J. en Ananiadou, S., MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models, in: Proceedings of WWW 2024, pagina's 4489 - 4500, 2024

[DOI]
[URL]

Yang, K, Liu, Z., Xie, Q., Huang, J., Zhang, T. en Ananiadou, S., MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models, in: Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024

[URL]

Yu, Z. en Ananiadou, S., Neuron-Level Knowledge Attribution in Large Language Models, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pagina's 3267–3280, 2024

[DOI]
[URL]

Hu, G., Qin, K., Yuan, C., Peng, M., Lopez-Lira, A., Wang, B., Ananiadou, S., Huang, J. en Xie, Q., No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks, arXiv, 2024

[URL]

Xie, Q., Li, D., Xiao, M., Jiang, Y., Xiang, R., Zhang, X., Chen, Z., He, Y., Han, W., Yang, Y., Chen, S., Zhang, Y., Shen, L., Kim, D., Liu, Z., Luo, Z., Yu, Y., Cao, Y., Deng, Z., Yao, Z., Li, H., Feng, D., Dai, Y., Somasundaram, V., Lu, P., Zhao, Y., Long, Y., Xiong, G., Smith, K., Yu, H., Lai, Y., Peng, M., Nie, J., Suchow, J., Liu, X. -Y., Wang, B., Lopez-Lira, A., Huang, J. en Ananiadou, S., Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications, arXiv, 2024

[URL]

Goldsack, T., Luo, Z., Xie, Q., Scarton, C., Shardlow, M., Ananiadou, S. en Lin, C., Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles, in: Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, pagina's 468-477, 2024

[DOI]
[URL]

Yang, K, Liu, Z., Xie, Q., Huang, J., Min, E. en Ananiadou, S., Selective Preference Optimization via Token-Level Reward Function Estimation, arXiv, 2024

[URL]

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

[URL]

Zhang, T., Yang, K, Ji, S., Liu, B, Xie, Q. en Ananiadou, S., SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content, in: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '24), pagina's 1136 - 1141, 2024

[URL]

Thompson, P., Ananiadou, S., Basinas, I., Brinchmann, B. C., Cramer, C., Galea, K. S., Ge, C., Georgiadis, P., Kirkeleit, J., Kuijpers, E., Nguyen, N. T. H., Nuñez, R., Schlünssen, V., Stokholm, Z. A., Taher, E. A., Tinnerberg, H., van Tongeren, M. en Xie, Q., Supporting the working life exposome: Annotating occupational exposure for enhanced literature search (2024), in: PLoS ONE, 19:8(e0307844)

[DOI]
[URL]

Yuan, C., Xie, Q. en Ananiadou, S., Temporal relation extraction with contrastive prototypical sampling (2024), in: Knowledge-based Systems, 286(111410)

[DOI]
[URL]

Luo, Z., Xie, Q. en Ananiadou, S., The Lay Person’s Guide to Biomedicine: Orchestrating Large Language Models, arXiv, 2024

[URL]

Yu, Z. en Ananiadou, S., Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering, arXiv, 2024

[URL]

Yang, K, Zhang, T. en Ananiadou, S., A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge, in: Proceedings of CIKM 2023, pagina's 2917–2927, 2023

[URL]

Cao, J., van Veen, E. M., Peek, N., Renehan, A. G en Ananiadou, S., A Novel Automated Approach to Mutation-Cancer Relation Extraction by Incorporating Heterogeneous Knowledge (2023), in: IEEE Journal of Biomedical and Health Informatics, 27:2(1096 - 1105)

[DOI]

Xie, Q., Luo, Z. en Ananiadou, S., A Survey for Biomedical Text Summarization: From Pre-trained to Large Language Models, arXiv, 2023

[URL]

Liu, B, Schlegel, V., Batista-Navarro, R. en Ananiadou, S., Argument mining as a multi-hop generative machine reading comprehension task, in: Findings of the Association for Computational Linguistics: EMNLP 2023, pagina's 10846–10858, 2023

[URL]

Goldsack, T., Luo, Z., Xie, Q., Scarton, C., Shardlow, M., Ananiadou, S. en Lin, C., BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles, in: Proceedings of BioNLP 2023, pagina's 468–477, 2023

[URL]

Luo, Z., Xie, Q. en Ananiadou, S., ChatGPT as a Factual Inconsistency Evaluator for Text Summarization, arXiv, 2023

[DOI]

Luo, Z., Xie, Q. en Ananiadou, S., CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization, in: Proceedings of the ACM Web Conference, pagina's 1843–1852, 2023

[DOI]
[URL]

| 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 |

Tijd voor verwerking: 0.0651 seconden.