Kailai Yang

Orcid: 0000-0003-3142-2516

According to our database1, Kailai Yang authored at least 33 papers between 2020 and 2025.

Collaborative distances:

Timeline

2020
2021
2022
2023
2024
2025
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Bibliography

2025
ELAINE-medLLM: Lightweight English Japanese Chinese Trilingual Large Language Model for Bio-medical Domain.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Disentangled Variational Autoencoder for Emotion Recognition in Conversations.
IEEE Trans. Affect. Comput., 2024

Emotion detection for misinformation: A review.
Inf. Fusion, 2024

FMDLlama: Financial Misinformation Detection based on Large Language Models.
CoRR, 2024

Selective Preference Optimization via Token-Level Reward Function Estimation.
CoRR, 2024

RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information.
CoRR, 2024

MetaAligner: Conditional Weak-to-Strong Correction for Generalizable Multi-Objective Alignment of Language Models.
CoRR, 2024

ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model.
CoRR, 2024

The FinBen: An Holistic Financial Benchmark for Large Language Models.
CoRR, 2024

EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis.
CoRR, 2024

Large Language Models in Mental Health Care: a Scoping Review.
CoRR, 2024

MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models.
Proceedings of the ACM on Web Conference 2024, 2024

SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FinBen: A Holistic Financial Benchmark for Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
PHQ-aware depressive symptoms identification with similarity contrastive learning on social media.
Inf. Process. Manag., September, 2023

Emotion fusion for mental illness detection from social media: A survey.
Inf. Fusion, April, 2023

Cluster-Level Contrastive Learning for Emotion Recognition in Conversations.
IEEE Trans. Affect. Comput., 2023

Exploring the Residual Stream of Transformers.
CoRR, 2023

Rethinking Large Language Models in Mental Health Applications.
CoRR, 2023

MentalLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models.
CoRR, 2023

Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health.
CoRR, 2023

On the Evaluations of ChatGPT and Emotion-enhanced Prompting for Mental Health Analysis.
CoRR, 2023

Attitude Estimation of Quadrotor UAV Based on QUKF.
IEEE Access, 2023

Towards Interpretable Mental Health Analysis with Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022
A mental state Knowledge-aware and Contrastive Network for early stress and depression detection on social media.
Inf. Process. Manag., 2022

2021
Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
A MOOC Courses Recommendation System Based on Learning Behaviours.
Proceedings of the ACM TUR-C'20: ACM Turing Celebration Conference, 2020


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