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20232026
most citedMentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models

153 citations · 730 across the 26 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.CL2025

MiraMind: Benchmarking Reliable Mental Health Reasoning beyond Answer Accuracy

Mengxi Xiao, Kailai Yang, Pengde Zhao +12

Mental-health reasoning with large language models (LLMs) is an evidence-constrained judgment problem: models must transform limited, subjective, and often ambiguous evidence into…

cs.CL2025

Natural Language Processing for Cardiology: A Narrative Review

Kailai Yang, Yan Leng, Xin Zhang +5

Cardiovascular diseases are becoming increasingly prevalent in modern society, with a profound impact on global health and well-being. These Cardiovascular disorders are complex an…

cs.CL2025

Exploring Safety Alignment Evaluation of LLMs in Chinese Mental Health Dialogues via LLM-as-Judge

Yunna Cai, Fan Wang, Haowei Wang +5

Evaluating the safety alignment of LLM responses in high-risk mental health dialogues is particularly difficult due to missing gold-standard answers and the ethically sensitive nat…

cs.CL2025

MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs

Zhiwei Liu, Lingfei Qian, Qianqian Xie +3

Large language models and vision-language models (which we jointly call LMs) have transformed NLP and CV, demonstrating remarkable potential across various fields. However, their c…

cs.CL2025

Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models

Zhenghao Lin, Zihao Tang, Xiao Liu +31

We introduce Sigma, an efficient large language model specialized for the system domain, empowered by a novel architecture including DiffQKV attention, and pre-trained on our metic…

cs.CL2025

Rumor Detection by Multi-task Suffix Learning based on Time-series Dual Sentiments

Zhiwei Liu, Kailai Yang, Eduard Hovy +1

The widespread dissemination of rumors on social media has a significant impact on people's lives, potentially leading to public panic and fear. Rumors often evoke specific sentime…