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Kailai Yang
Kailai Yang
Bestätigte E-Mail-Adresse bei manchester.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
146*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
752023
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
722022
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
512023
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
432023
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
362024
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
362021
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
312024
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
292023
Emotion detection for misinformation: A review
Z Liu, T Zhang, K Yang, P Thompson, Z Yu, S Ananiadou
Information Fusion, 102300, 2024
222024
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
212024
A mooc courses recommendation system based on learning behaviours
S Yin, K Yang, H Wang
212020
Rethinking large language models in mental health applications
S Ji, T Zhang, K Yang, S Ananiadou, E Cambria
arXiv preprint arXiv:2311.11267, 2023
172023
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
162023
Disentangled variational autoencoder for emotion recognition in conversations
K Yang, T Zhang, S Ananiadou
IEEE Transactions on Affective Computing, 2023
122023
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
82023
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
62023
Conspemollm: Conspiracy theory detection using an emotion-based large language model
Z Liu, B Liu, P Thompson, K Yang, S Ananiadou
arXiv preprint arXiv:2403.06765, 2024
52024
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
52023
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
42024
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