Sep 7, 2023 · We propose a comprehensive evaluation using two supervised learning methods and eight large language models (LLMs) on the proposed datasets.
Our findings revealed a discernible performance gap between the large language models and traditional supervised learning approaches, primarily ...
Sep 7, 2023 · To our knowledge, this investigation stands as the maiden attempt at gauging large language models on Chinese social media tasks. This study ...
We introduce two novel annotated datasets from Chinese social media, focused on cognitive distortions and suicidal risk classification. We propose a ...
Sep 7, 2023 · Our findings revealed a discernible performance gap between the large language models and traditional supervised learning approaches, primarily ...
Nov 2, 2023 · We conducted experiments to classify suicide risk and cognitive distortions on Chinese social media data using supervised learning methods and ...
2024. Evaluating the efficacy of supervised learning vs large language models for identifying cognitive distortions and suicidal risks in chinese social media.
Jun 10, 2024 · This paper introduces two novel datasets from Chinese social media for suicidal risk classification and cognitive distortions detection
Our study ventured into this realm by experimenting on two pivotal tasks: suicidal risk and cognitive distortion identification on Chinese social media ...
Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social Media. Fan Wang, ...
Missing: Efficacy Identifying