Trefwoorden:
Publicaties van Ananiadou, S. gesorteerd op eerste auteur
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Towards Interpretable Mental Health Analysis with Large Language Models, in: Proceedings of EMNLP 2023, pagina's 6056–6077, 2023 | , , , , en ,
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Selective Preference Optimization via Token-Level Reward Function Estimation, arXiv, 2024 | , , , , en ,
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MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models, in: Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024 | , , , , en ,
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Cluster-Level Contrastive Learning for Emotion Recognition in Conversations (2023), in: IEEE Transactions on Affective Computing(1-12) | , , en ,
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A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge, in: Proceedings of CIKM 2023, pagina's 2917–2927, 2023 | , en ,
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Disentangled Variational Autoencoder for Emotion Recognition in Conversations (2023), in: IEEE Transactions on Affective Computing(1-12) | , en ,
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A Mental State Knowledge-Aware and Contrastive Network for Early Stress and Depression Detection on Social Media (2022), in: Information Processing and Management, 59:4(102961) | , en ,
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MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models, in: Proceedings of WWW 2024, pagina's 4489 - 4500, 2024 | , , , , en ,
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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), In Press | , , , , , , , , en ,
IRIS: Iterative Improvement of Distantly Supervised Named Entity Annotations, Research Square, 2024 | , en ,
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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 | en ,
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Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering, arXiv, 2024 | en ,
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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 | en ,
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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 | en ,
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Temporal relation extraction with contrastive prototypical sampling (2024), in: Knowledge-based Systems, 286(111410) | , en ,
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Zero-shot Temporal Relation Extraction with ChatGPT, in: Proceedings of BioNLP 2023, pagina's 92–102, 2023 | , en ,
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Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models, in: Proceedings of the ACM on Web Conference 2024 (WWW '24), pagina's 1963 - 1974, 2024 | , , en ,
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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), pagina's 6-20, 2018 | en ,
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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), pagina's 31-41, 2015 | en ,
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Using uncertainty to link and rank evidence from biomedical literature for model curation (2017), in: Bioinformatics | , , en ,
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Cited text span identification for scientific summarisation using pre-trained encoders (2020), in: Scientometrics | , , en ,
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A term-based and citation network-based search system for COVID-19 (2021), in: JAMIA Open, 4:4(ooab104) | , , , en ,
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Enrichment and Structuring of Archival Description Metadata, in: Proceedings of the 5th ACL Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, pagina's 44-53, 2011 | , , en ,
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Natural Language Processing Applied to Mental Illness Detection: A Narrative Review (2022), in: n p j Digital Medicine, 5(46) | , en ,
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Automatic identification of suicide notes with a transformer-based deep learning model (2021), in: Internet Interventions(100422) | , en ,
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