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Publications of Ananiadou, S. sorted by recency
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| , , , , 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 |
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| , , , , and , ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model, arXiv, 2024 |
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| , , and , Rethinking large language models in mental health applications, arXiv, 2023 |
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| , , , , , , , , , and , Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English, arXiv, 2024 |
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| and , How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning, arXiv, 2024 |
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| , , , , and , EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis, arXiv, 2024 |
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| , , , , , , , and , Large Language Models in Mental Health Care: a Scoping Review, arXiv, 2024 |
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| , , and , Locating Factual Knowledge in Large Language Models: Exploring the Residual Stream and Analyzing Subvalues in Vocabulary Space, arXiv, 2023 |
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| , , and , Argument mining as a multi-hop generative machine reading comprehension task, in: Findings of the Association for Computational Linguistics: EMNLP 2023, pages 10846–10858, 2023 |
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| , , , , and , Emotion detection for misinformation: A review (2024), in: Information Fusion, 107(102300) |
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| , , , , and , MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models, in: Proceedings of WWW 2024, pages 4489 - 4500, 2024 |
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| , and , Temporal relation extraction with contrastive prototypical sampling (2024), in: Knowledge-based Systems, 286(111410) |
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| , , , , , , , and , Artificial intelligence (AI) futures: India-UK collaborations emerging from the 4th Royal Society Yusuf Hamied workshop (2023), in: International Journal of Information Management(102725) |
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| , , and , Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models, arXiv, 2023 |
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| , and , LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation, in: Proceedings of LREC-COLING 2024, pages 10777-10789, 2024 |
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| , , , and , Global information-aware argument mining based on a top-down multi-turn QA model (2023), in: Information Processing & Management, 60:5(103445) |
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| , and , Knowledge-enhanced Graph Topic Transformer for Explainable Biomedical Text Summarization (2023), in: IEEE Journal of Biomedical and Health Informatics |
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| , , and , Graph Contrastive Topic Model, arXiv, 2023 |
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| and , PESTO: A Post-User Fusion Network for Rumour Detection on Social Media, in: Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, pages 1-10, 2023 |
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| , and , Disentangled Variational Autoencoder for Emotion Recognition in Conversations (2023), in: IEEE Transactions on Affective Computing(1-12) |
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| , , and , Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health, arXiv, 2023 |
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| , and , A Survey for Biomedical Text Summarization: From Pre-trained to Large Language Models, arXiv, 2023 |
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| , and , ChatGPT as a Factual Inconsistency Evaluator for Text Summarization, arXiv, 2023 |
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| , , , , and , Towards Interpretable Mental Health Analysis with Large Language Models, in: Proceedings of EMNLP 2023, pages 6056–6077, 2023 |
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| , and , A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge, in: Proceedings of CIKM 2023, pages 2917–2927, 2023 |
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| 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 | 376-389 |