Alle publicaties voor Zhang, T.
2024
| , , , , en , EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis, in: Proceedings of KDD 2024, pagina's 5487 - 5496, 2024 |
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| , , , , en , Emotion detection for misinformation: A review (2024), in: Information Fusion, 107(102300) |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , FinBen: An Holistic Financial Benchmark for Large Language Models, in: Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024 |
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| , , , , en , MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models, in: Proceedings of WWW 2024, pagina's 4489 - 4500, 2024 |
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| , , , , en , MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models, in: Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024 |
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| , , , , en , 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 |
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2023
| , en , A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge, in: Proceedings of CIKM 2023, pagina's 2917–2927, 2023 |
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| , , en , Cluster-Level Contrastive Learning for Emotion Recognition in Conversations (2023), in: IEEE Transactions on Affective Computing(1-12) |
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| , en , Disentangled Variational Autoencoder for Emotion Recognition in Conversations (2023), in: IEEE Transactions on Affective Computing(1-12) |
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| , , en , Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health, arXiv, 2023 |
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| , , en , Emotion fusion for mental illness detection from social media: A survey (2023), in: Information Fusion, 92(231-246) |
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| , , , en , PHQ-aware depressive symptoms identification with similarity contrastive learning on social media (2023), in: Information Processing & Management, 60:5(103417) |
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| , , en , Rethinking large language models in mental health applications, arXiv, 2023 |
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| , en , Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media, in: Proceedings of BioNLP 2023, pagina's 114–126, 2023 |
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| , , , , en , Towards Interpretable Mental Health Analysis with Large Language Models, in: Proceedings of EMNLP 2023, pagina's 6056–6077, 2023 |
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2022
| , en , A comparative geolocation and text mining analysis of emotions and topics during the COVID-19 Pandemic in the UK (2022), in: Journal of Medical Internet Research |
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| , en , 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) |
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| , en , Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining Analysis (2022), in: Journal of Medical Internet Research, 24:10(e40323) |
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| , en , Natural Language Processing Applied to Mental Illness Detection: A Narrative Review (2022), in: n p j Digital Medicine, 5(46) |
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2021
| , en , Automatic identification of suicide notes with a transformer-based deep learning model (2021), in: Internet Interventions(100422) |
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| , en , Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier., in: CLEF (Working Notes), 2021 |
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