| Towards Interpretable Mental Health Analysis with Large Language Models K Yang, S Ji, T Zhang, Q Xie, Z Kuang, S Ananiadou Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 66* | 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 | 47 | 2022 |
| 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 | 31 | 2021 |
| 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 | 27 | 2023 |
| Cluster-level contrastive learning for emotion recognition in conversations K Yang, T Zhang, H Alhuzali, S Ananiadou IEEE Transactions on Affective Computing, 2023 | 19 | 2023 |
| Mentalllama: Interpretable mental health analysis on social media with large language models K Yang, T Zhang, Z Kuang, Q Xie, S Ananiadou arXiv preprint arXiv:2309.13567, 2023 | 18 | 2023 |
| A mooc courses recommendation system based on learning behaviours S Yin, K Yang, H Wang | 17 | 2020 |
| 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 | 10 | 2023 |
| 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 | 6 | 2023 |
| Disentangled variational autoencoder for emotion recognition in conversations K Yang, T Zhang, S Ananiadou IEEE Transactions on Affective Computing, 2023 | 5 | 2023 |
| Emotion detection for misinformation: A review Z Liu, T Zhang, K Yang, P Thompson, Z Yu, S Ananiadou Information Fusion, 102300, 2024 | 4 | 2024 |
| Large Language Models in Mental Health Care: a Scoping Review Y Hua, F Liu, K Yang, Z Li, Y Sheu, P Zhou, LV Moran, S Ananiadou, ... arXiv preprint arXiv:2401.02984, 2024 | 4 | 2024 |
| Rethinking large language models in mental health applications S Ji, T Zhang, K Yang, S Ananiadou, E Cambria arXiv preprint arXiv:2311.11267, 2023 | 4 | 2023 |
| 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 | 3 | 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 arXiv preprint arXiv:2401.08508, 2024 | 2 | 2024 |
| 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 | 1 | 2024 |
| A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge K Yang, T Zhang, S Ji, S Ananiadou Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| MetaAligner: Conditional Weak-to-Strong Correction for Generalizable Multi-Objective Alignment of Language Models K Yang, Z Liu, Q Xie, T Zhang, N Song, J Huang, Z Kuang, S Ananiadou arXiv preprint arXiv:2403.17141, 2024 | | 2024 |
| ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model Z Liu, B Liu, P Thompson, K Yang, R Jain, S Ananiadou arXiv preprint arXiv:2403.06765, 2024 | | 2024 |
| 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 arXiv preprint arXiv:2403.05574, 2024 | | 2024 |
Sophia AnaniadouProfessor, Computer Science, Manchester University, National Centre for Text MiningVerified email at manchester.ac.uk
