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Publications of Ananiadou, S. sorted by journal and type
| 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 |
Publications of type Inproceedings
2005
A Machine Learning Approach To Acronym Generation, in: Proceedings of the Workshop On Linking Biological Literature Ontologies And Databases: Mining Biological Semantics (BioLink 2005), páginas 25-31, 2005 | , and ,
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2004
Enhancing automatic term recognition through recognition of variation, in: Proceedings of COLING 2004, páginas 604--610, Association for Computational Linguistics, 2004 | , and ,
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2022
Text Classification and Prediction in the Legal Domain, páginas 4717-4722, 2022 | , , and ,
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Publications of type Misc
2025
Disentangled VAD Representations via a Variational Framework for Political Stance Detection, arXiv, 2025 | , and ,
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FinAudio: A Benchmark for Audio Large Language Models in Financial Applications, arXiv, 2025 | , , , , , , , , , , , and ,
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MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs, arXiv, 2025 | , , , , and ,
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MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation, arXiv, 2025 | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and ,
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Religious Bias Landscape in Language and Text-to-Image Models: Analysis, Detection, and Debiasing Strategies, arXiv, 2025 | , , and ,
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Retrieval-augmented Large Language Models for Financial Time Series Forecasting, arXiv, 2025 | , , , , , , , , , , , and ,
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Rumor Detection by Multi-task Suffix Learning based on Time-series Dual Sentiments, arXiv, 2025 | , , and ,
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Subjective Logic Encodings, arXiv, 2025 | , and ,
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Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing, arXiv, 2025 | and ,
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2024
Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams, arXiv, 2024 | , , and ,
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FMDLlama: Financial Misinformation Detection based on Large Language Models, arXiv, 2024 | , , , , and ,
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IRIS: Iterative Improvement of Distantly Supervised Named Entity Annotations, Research Square, 2024 | , and ,
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Large Language Models in Mental Health Care: a Scoping Review, arXiv, 2024 | , , , , , , , and ,
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No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks, arXiv, 2024 | , , , , , , , and ,
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Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications, arXiv, 2024 | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and ,
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Selective Preference Optimization via Token-Level Reward Function Estimation, arXiv, 2024 | , , , , and ,
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The Lay Person’s Guide to Biomedicine: Orchestrating Large Language Models, arXiv, 2024 | , and ,
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Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering, arXiv, 2024 | and ,
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2023
A Survey for Biomedical Text Summarization: From Pre-trained to Large Language Models, arXiv, 2023 | , and ,
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ChatGPT as a Factual Inconsistency Evaluator for Text Summarization, arXiv, 2023 | , and ,
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Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health, arXiv, 2023 | , , and ,
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Rethinking large language models in mental health applications, arXiv, 2023 | , , and ,
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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 | 376-400 | 401-425 | 426-429 |