| Towards Interpretable Mental Health Analysis with Large Language Models K Yang, S Ji, T Zhang, Q Xie, Z Kuang, S Ananiadou EMNLP 2023, 6056–6077, 2023 | 166* | 2023 |
| Mentallama: Interpretable mental health analysis on social media with large language models K Yang, T Zhang, Z Kuang, Q Xie, S Ananiadou WWW 2024, 2023 | 104 | 2023 |
| A mental state Knowledge–aware and Contrastive Network for early stress and depression detection on social media K Yang, T Zhang, S Ananiadou Information Processing & Management 59 (4), 102961, 2022 | 78 | 2022 |
| Emotion fusion for mental illness detection from social media: A survey T Zhang, K Yang, S Ji, S Ananiadou Information Fusion 92, 231-246, 2023 | 57 | 2023 |
| The finben: An holistic financial benchmark for large language models Q Xie, W Han, Z Chen, R Xiang, X Zhang, Y He, M Xiao, D Li, Y Dai, ... arXiv preprint arXiv:2402.12659, 2024 | 52 | 2024 |
| Cluster-level contrastive learning for emotion recognition in conversations K Yang, T Zhang, H Alhuzali, S Ananiadou IEEE Transactions on Affective Computing 14 (4), 3269-3280, 2023 | 46 | 2023 |
| Large language models in mental health care: a scoping review Y Hua, F Liu, K Yang, Z Li, H Na, Y Sheu, P Zhou, LV Moran, S Ananiadou, ... arXiv preprint arXiv:2401.02984, 2024 | 45 | 2024 |
| Knowledge-interactive network with sentiment polarity intensity-aware multi-task learning for emotion recognition in conversations K Yang*, Y Xie*, CJ Sun, B Liu, Z Ji Findings of the Association for Computational Linguistics: EMNLP 2021, 2879-2889, 2021 | 38 | 2021 |
| Domain-specific continued pretraining of language models for capturing long context in mental health S Ji, T Zhang, K Yang, S Ananiadou, E Cambria, J Tiedemann arXiv preprint arXiv:2304.10447, 2023 | 31 | 2023 |
| Emollms: A series of emotional large language models and annotation tools for comprehensive affective analysis Z Liu, K Yang, T Zhang, Q Xie, Z Yu, S Ananiadou KDD 2024, 2024 | 29 | 2024 |
| Emotion detection for misinformation: A review Z Liu, T Zhang, K Yang, P Thompson, Z Yu, S Ananiadou Information Fusion, 102300, 2024 | 27 | 2024 |
| PHQ-aware depressive symptoms identification with similarity contrastive learning on social media T Zhang, K Yang, H Alhuzali, B Liu, S Ananiadou Information Processing & Management 60 (5), 103417, 2023 | 19 | 2023 |
| Rethinking large language models in mental health applications S Ji, T Zhang, K Yang, S Ananiadou, E Cambria arXiv preprint arXiv:2311.11267, 2023 | 18 | 2023 |
| Disentangled variational autoencoder for emotion recognition in conversations K Yang, T Zhang, S Ananiadou IEEE Transactions on Affective Computing, 2023 | 14 | 2023 |
| Towards interpretable mental health analysis with large language models. arXiv K Yang, S Ji, T Zhang, Q Xie, Z Kuang, S Ananiadou Preprint posted online October 11, 2023 | 14 | 2023 |
| HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy M Xiao, Q Xie, Z Kuang, Z Liu, K Yang, M Peng, W Han, J Huang ACL 2024, 2024 | 10 | 2024 |
| Fmdllama: Financial misinformation detection based on large language models Z Liu, X Zhang, K Yang, Q Xie, J Huang, S Ananiadou arXiv preprint arXiv:2409.16452, 2024 | 7 | 2024 |
| Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media T Zhang, K Yang, S Ananiadou The 22nd Workshop on Biomedical Natural Language Processing and BioNLP …, 2023 | 7 | 2023 |
| Conspemollm: Conspiracy theory detection using an emotion-based large language model Z Liu, B Liu, P Thompson, K Yang, S Ananiadou ECAI 2024, 4649-4656, 2024 | 6 | 2024 |
| A bipartite graph is all we need for enhancing emotional reasoning with commonsense knowledge K Yang, T Zhang, S Ji, S Ananiadou CIKM 2023, 2917-2927, 2023 | 6 | 2023 |
Sophia AnaniadouProfessor, Computer Science, Manchester University, National Centre for Text MiningCorreu electrònic verificat a manchester.ac.uk