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Papers
In-context learning capabilities of Large Language Models to detect suicide risk among adolescents from speech transcripts
Interspeech 2025
Language-Agnostic Suicidal Risk Detection Using Large Language Models
Interspeech 2025
Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection
Interspeech 2025
Network of acoustic characteristics for the automatic detection of suicide risk from speech. Contribution to the 2025 SpeechWellness challenge by the Semawave team
Interspeech 2025
Predicting Adolescent Suicidal Risk from Multi-task-based Speech: An Ensemble Learning Approach
Interspeech 2025
SAHAY: Multimodal, Privacy-Preserving AI for Suicide Risk Detection and Intervention in India
IJCAI 2025
The 1st SpeechWellness Challenge: Detecting Suicide Risk Among Adolescents
Interspeech 2025
Archetypes and Entropy: Theory-Driven Extraction of Evidence for Suicide Risk
EACL 2024
Detecting Suicide Risk Patterns using Hierarchical Attention Networks with Large Language Models
EACL 2024
RISE: Robust Early-exiting Internal Classifiers for Suicide Risk Evaluation
COLING 2024
Spontaneous Speech-Based Suicide Risk Detection Using Whisper and Large Language Models
Interspeech 2024
Combining Psychological Theory with Language Models for Suicide Risk Detection
EACL 2023
Detecting Suicide Risk in Online Counseling Services: A Study in a Low-Resource Language
COLING 2022
Analyzing the use of existing systems for the CLPsych 2019 Shared Task
NAACL 2019
CLPsych 2019 Shared Task: Predicting the Degree of Suicide Risk in Reddit Posts
NAACL 2019
Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention
EMNLP 2019