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ENTITY self-injury

self-injury

PulseAugur coverage of self-injury — every cluster mentioning self-injury across labs, papers, and developer communities, ranked by signal.

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Total · 30d
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SENTIMENT · 30D

2 day(s) with sentiment data

RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_233843 ·

    DeepSeek Harness emerges as a cost-effective open-source alternative to Claude

    DeepSeek Harness (DSH) is presented as a powerful open-source alternative to Anthropic's Claude models. The guide details how to use DSH, positioning it as a cost-effective option for users seeking strong performance wi…

  2. TOOL · CL_210117 ·

    Tencent paper reveals 25.5% indirect prompt injection success in DSH

    A recent security paper from Tencent's AI-Infra-Guard team highlights significant vulnerabilities in the DeepSeek Harness (DSH) open-source agent orchestration framework. The research found that indirect prompt injectio…

  3. TOOL · CL_146275 ·

    Meta AI alerts parents to teen self-harm discussions

    Meta is enhancing its AI safety features for teen users by introducing a system that alerts parents if their children discuss self-harm or suicide with Meta AI chatbots. This feature, which includes manual review of fla…

  4. TOOL · CL_107990 ·

    LLM safeguards inadequate for mental health conditions, study finds

    A new study published on arXiv evaluates the safety of large language models (LLMs) in mental health contexts, revealing significant inadequacies in their safeguards across various DSM-5 conditions. The research found t…

  5. RESEARCH · CL_82108 ·

    New benchmark and model improve crisis detection in mental health chats

    Researchers have developed CRADLE-Dialogue, a new benchmark and dataset for detecting crisis situations in mental health conversations. This dataset includes 600 dialogues annotated for various risks like suicide ideati…

  6. RESEARCH · CL_65823 ·

    AI models struggle to generalize self-harm prediction across hospitals

    Two new research papers explore the challenges and potential solutions for using NLP models to predict self-harm from emergency department triage notes. The first paper identifies lexical and semantic variations across …