Buchumschlag

Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Wang, Song, Zhou, Yiliang, Han, Ziqiang, Tao, Cui, Xiao, Yunyu, Ding, Ying, Ghosh, Joydeep, Peng, Yifan
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computation and Language Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

A Multi-Stage Large Language Model Framework for Extracting Suicide-Related Social Determinants of Health
von: Wang, Song, et al.
Veröffentlicht: (2025)

Quantifying Misattribution Unfairness in Authorship Attribution
von: Alipoormolabashi, Pegah, et al.
Veröffentlicht: (2025)

Regarding Suicide Deaths, Suicidal Ideation and Suicide Attempts in Patients With Diabetes
von: Fan‐Hua Meng, et al.
Veröffentlicht: (2024)

Dead Cognitions: A Census of Misattributed Insights
von: Tuor, Aaron, et al.
Veröffentlicht: (2026)

Misleading through Inconsistency: A Benchmark for Political Inconsistencies Detection
von: Sagimbayeva, Nursulu, et al.
Veröffentlicht: (2025)

Categorizing Social Media Screenshots for Identifying Author Misattribution
von: Farris, Ashlyn M., et al.
Veröffentlicht: (2024)

The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows
von: Kim, Hyunwoo, et al.
Veröffentlicht: (2026)

Suicide Risk Assessment on Social Media with Semi-Supervised Learning
von: Lovitt, Max, et al.
Veröffentlicht: (2024)

When Specifications Meet Reality: Uncovering API Inconsistencies in Ethereum Infrastructure
von: Ma, Jie, et al.
Veröffentlicht: (2026)

Suicide Deaths in People With Bipolar Disorder: Characteristics and Treatments at Time of Death
von: Ayal Schaffer, et al.
Veröffentlicht: (2025)

Profiling Chilean Suicide Note-Writers through Content Analysis
von: Francisco Ceballos-Espinoza
Veröffentlicht: (2016)

Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review
von: Zhang, Yuhan, et al.
Veröffentlicht: (2025)

Seeing the Signal, Missing the Meaning: Affective Perception and Misattribution in Emotional Intelligence
von: Boullineau, Emile
Veröffentlicht: (2026)

Seeing the Signal, Missing the Meaning: Affective Perception and Misattribution in Emotional Intelligence
von: Boullineau, Emile
Veröffentlicht: (2026)

Seeing the Signal, Missing the Meaning: Affective Perception and Misattribution in Emotional Intelligence
von: Boullineau, Emile
Veröffentlicht: (2026)

Addressing Social Misattributions of Large Language Models: An HCXAI-based Approach
von: Ferrario, Andrea, et al.
Veröffentlicht: (2024)

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media
von: Zheng, Shouwen, et al.
Veröffentlicht: (2025)

Novel Node Category Detection Under Subpopulation Shift
von: Chung, Hsing-Huan, et al.
Veröffentlicht: (2024)

Enhancing Health Fact-Checking with LLM-Generated Synthetic Data
von: Zhang, Jingze, et al.
Veröffentlicht: (2025)

Exploring Suicide Potential and the Actualising Tendency: A Qualitative Study of Suicide Notes
von: Amanda McGarry, et al.
Veröffentlicht: (2026)

Mixed-Precision Information Bottlenecks for On-Device Trait-State Disentanglement in Bipolar Agitation Detection
von: Chandra, Joydeep
Veröffentlicht: (2026)

Investigating Acoustic-Textual Emotional Inconsistency Information for Automatic Depression Detection
von: Su, Rongfeng, et al.
Veröffentlicht: (2024)

Achieving Fairness Across Local and Global Models in Federated Learning
von: Makhija, Disha, et al.
Veröffentlicht: (2024)

Uncovering Intervention Opportunities for Suicide Prevention with Language Model Assistants
von: Ranjit, Jaspreet, et al.
Veröffentlicht: (2025)

Inconsistent Tokenizations Cause Language Models to be Perplexed by Japanese Grammar
von: Gambardella, Andrew, et al.
Veröffentlicht: (2025)

Professional and Pandemic‐Related Stressors Associated With Physician Death by Suicide: A Qualitative Analysis of Death Narratives
von: Angela M. Haddad, et al.
Veröffentlicht: (2025)

Enhancing disease detection in radiology reports through fine-tuning lightweight LLM on weak labels
von: Wei, Yishu, et al.
Veröffentlicht: (2024)

Inconsistency-Based Data-Centric Active Open-Set Annotation
von: Mao, Ruiyu, et al.
Veröffentlicht: (2024)

Federated Learning for Estimating Heterogeneous Treatment Effects
von: Makhija, Disha, et al.
Veröffentlicht: (2024)

OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration
von: Li, Shijun, et al.
Veröffentlicht: (2025)

Implicit Ethical Consumerism: Development and Cross‐Cultural Validation of a Novel Affect‐Misattribution Measure
von: Brandon J. Reich, et al.
Veröffentlicht: (2025)

Rethinking Suicidal Ideation Detection: A Trustworthy Annotation Framework and Cross-Lingual Model Evaluation
von: Dzafic, Amina, et al.
Veröffentlicht: (2025)

ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics
von: Banerjee, Oishi, et al.
Veröffentlicht: (2024)

How to Achieve Prototypical Birth and Death for OOD Detection?
von: Peng, Ningkang, et al.
Veröffentlicht: (2026)

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection
von: Gao, Yifan, et al.
Veröffentlicht: (2025)

An Exploratory Study on the Suicidal Behaviours of People With Intellectual Disability or Autism: Examining Their Understanding of Suicide and Death, and the Perceptions of Their Direct Support Staff
von: Sarrah Thomas Persechino, et al.
Veröffentlicht: (2024)

Synergistic Optimization of Multi‐Microgrid Operation: Integrating Shared Energy Storage and User Utility
von: Yunyu Wang, et al.
Veröffentlicht: (2026)

Physics in Next-token Prediction
von: An, Hongjun, et al.
Veröffentlicht: (2024)

Enhancing Suicide Risk Detection on Social Media through Semi-Supervised Deep Label Smoothing
von: Squires, Matthew, et al.
Veröffentlicht: (2024)

Bored to Death: Artificial Intelligence Research Reveals the Role of Boredom in Suicide Behavior
von: Lissak, Shir, et al.
Veröffentlicht: (2024)