activity
20202026
most citedMentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models

153 citations · 387 across the 20 of their papers we have counts for

collaborators

21 papers

cs.CY2026

Credibility Governance: A Social Mechanism for Collective Self-Correction under Weak Truth Signals

Wanying He, Yanxi Lin, Ziheng Zhou +5

Online platforms increasingly rely on opinion aggregation to allocate real-world attention and resources, yet common signals such as engagement votes or capital-weighted commitment…

cs.CL2023★ 12 cited

Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles

Tomas Goldsack, Zheheng Luo, Qianqian Xie +4

This paper presents the results of the shared task on Lay Summarisation of Biomedical Research Articles (BioLaySumm), hosted at the BioNLP Workshop at ACL 2023. The goal of this sh…

cs.CL2023★ 153 cited

MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models

Kailai Yang, Tianlin Zhang, Ziyan Kuang +3

With the development of web technology, social media texts are becoming a rich source for automatic mental health analysis. As traditional discriminative methods bear the problem o…

cs.CL2023

LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation

Jennifer A Bishop, Qianqian Xie, Sophia Ananiadou

Maintaining factual consistency is a critical issue in abstractive text summarisation, however, it cannot be assessed by traditional automatic metrics used for evaluating text summ…

cs.CL2023

Graph Contrastive Topic Model

Zheheng Luo, Lei Liu, Qianqian Xie +1

Existing NTMs with contrastive learning suffer from the sample bias problem owing to the word frequency-based sampling strategy, which may result in false negative samples with sim…

cs.CV2023★ 60 cited

A scoping review on multimodal deep learning in biomedical images and texts

Zhaoyi Sun, Mingquan Lin, Qingqing Zhu +4

Computer-assisted diagnostic and prognostic systems of the future should be capable of simultaneously processing multimodal data. Multimodal deep learning (MDL), which involves the…