English(EN) BALMS: Benchmarking Agentic LLMs for Longitudinal Mental Health Sensing

新基准BALMS评估用于心理健康感知的LLM代理

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-28 04:00

研究人员推出了BALMS，这是一个旨在评估基于大型语言模型（LLM）的代理系统进行纵向心理健康感知能力的新基准。该基准利用三个真实世界数据集和两个任务家族，专注于预测幸福感得分和生成基于证据的推理。初步研究结果表明，零样本代理难以超越简单的基线，只有在更强的LLM骨干或更有意义的特征下，性能才会提高。思维链提示在推理任务方面显示出潜力，但不能持续保证时间准确性或数值准确性。 AI

影响该基准可以加速开发能够进行持续健康监测和个性化反馈的更复杂的AI代理。

排序理由该集群描述了一篇介绍用于特定领域LLM代理评估基准的新学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 27 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群描述了一篇介绍用于特定领域LLM代理评估基准的新学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, safety, product; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.CL TIER_1 English(EN) · Yu Yvonne Wu, Arvind Pillai, Yuliang Chen, Yuwei Zhang, Sudarshan Regmi, Tess Z. Griffin, Michael V. Heinz, Lisa A. Marsch, Nicholas C. Jacobson, Andrew Campbell · 2026-08-28 04:00

BALMS：用于纵向心理健康感知的代理LLM基准测试

arXiv:2608.27219v1 Announce Type: new Abstract: Mental health assessment relies on episodic self-report scales, which convert subjective states such as stress into numerical scores but provide only sparse snapshots of wellbeing. Wearable devices offer longitudinal behavioral and …

本文如何被排名

报道来源 [1]

BALMS：用于纵向心理健康感知的代理LLM基准测试

相关实体

相关话题