Dear guest, welcome to this publication database. As an anonymous user, you will probably not have edit rights. Also, the collapse status of the topic tree will not be persistent. If you like to have these and other options enabled, you might ask Admin for a login account.
| This site is powered by Aigaion - A PHP/Web based management system for shared and annotated bibliographies. For more information visit www.aigaion.de. |
|
Keywords:
Publications of Ananiadou, S. sorted by first author
| 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 | 426-429 |
Y
| , , , , , , , , and , 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), pages 4670–4688, 2025 |
[URL] |
| , and , IRIS: Iterative Improvement of Distantly Supervised Named Entity Annotations, Research Square, 2024 |
[DOI] [URL] |
| and , Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs, in: Findings of the Association for Computational Linguistics: EMNLP 2024, In Press |
[URL] |
| and , Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing, arXiv, 2025 |
[URL] |
| and , 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, pages 3281–3292, 2024 |
[DOI] [URL] |
| and , Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering, arXiv, 2024 |
[URL] |
| and , Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 3293–3306, 2024 |
[DOI] [URL] |
| and , Neuron-Level Knowledge Attribution in Large Language Models, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 3267–3280, 2024 |
[DOI] [URL] |
| , and , 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), In Press |
[URL] |
| , and , Temporal relation extraction with contrastive prototypical sampling (2024), in: Knowledge-based Systems, 286(111410) |
[DOI] [URL] |
| , and , Zero-shot Temporal Relation Extraction with ChatGPT, in: Proceedings of BioNLP 2023, pages 92–102, 2023 |
[URL] |
| , , and , Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models, in: Proceedings of the ACM on Web Conference 2024 (WWW '24), pages 1963 - 1974, 2024 |
[URL] |
Z
| and , Paths for uncertainty: Exploring the intricacies of uncertainty identification for news, in: Proceedings of the NAACL Workshop on Computational Semantics Beyond Events and Roles (SemBEaR), pages 6-20, 2018 |
[URL] |
| and , Event Extraction in pieces: Tackling the partial event identification problem on unseen corpora, in: Proceedings of the 2015 Workshop on Biomedical Natural Language Processing (BioNLP 2015), pages 31-41, 2015 |
[URL] |
| , , and , Using uncertainty to link and rank evidence from biomedical literature for model curation (2017), in: Bioinformatics |
[DOI] [URL] |
| , , and , Cited text span identification for scientific summarisation using pre-trained encoders (2020), in: Scientometrics |
[DOI] [URL] |
| , , , and , A term-based and citation network-based search system for COVID-19 (2021), in: JAMIA Open, 4:4(ooab104) |
[DOI] [URL] |
| , , and , Enrichment and Structuring of Archival Description Metadata, in: Proceedings of the 5th ACL Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, pages 44-53, 2011 |
[URL] |
| , and , Natural Language Processing Applied to Mental Illness Detection: A Narrative Review (2022), in: n p j Digital Medicine, 5(46) |
[DOI] [URL] |
| , and , Automatic identification of suicide notes with a transformer-based deep learning model (2021), in: Internet Interventions(100422) |
[DOI] [URL] |
| , , , and , PHQ-aware depressive symptoms identification with similarity contrastive learning on social media (2023), in: Information Processing & Management, 60:5(103417) |
[DOI] [URL] |
| , and , Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media, in: Proceedings of BioNLP 2023, pages 114–126, 2023 |
[URL] |
| , , , , and , 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), pages 1136 - 1141, 2024 |
[URL] |
| , , and , Emotion fusion for mental illness detection from social media: A survey (2023), in: Information Fusion, 92(231-246) |
[DOI] [URL] |
| , , , and , THCM-CAL: Temporal-Hierarchical Causal Modelling with Conformal Calibration for Clinical Risk Prediction, in: Findings of the Association for Computational Linguistics: EMNLP 2024, In Press |
[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 | 426-429 |