Saved in:
| Main Author: | Kim, Laerdon |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.14066 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data
by: Abdelkadir, Nuredin Ali, et al.
Published: (2026)
by: Abdelkadir, Nuredin Ali, et al.
Published: (2026)
Decoding Linguistic Nuances in Mental Health Text Classification Using Expressive Narrative Stories
by: Tang, Jinwen, et al.
Published: (2024)
by: Tang, Jinwen, et al.
Published: (2024)
Evaluating Large Language Models for Health-Related Text Classification Tasks with Public Social Media Data
by: Guo, Yuting, et al.
Published: (2024)
by: Guo, Yuting, et al.
Published: (2024)
Evaluating Large Language Models for Public Health Classification and Extraction Tasks
by: Harris, Joshua, et al.
Published: (2024)
by: Harris, Joshua, et al.
Published: (2024)
LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based on Twitter Data
by: Deshpande, Vijeta, et al.
Published: (2024)
by: Deshpande, Vijeta, et al.
Published: (2024)
Chinese MentalBERT: Domain-Adaptive Pre-training on Social Media for Chinese Mental Health Text Analysis
by: Zhai, Wei, et al.
Published: (2024)
by: Zhai, Wei, et al.
Published: (2024)
A Multi-Task Text Classification Pipeline with Natural Language Explanations: A User-Centric Evaluation in Sentiment Analysis and Offensive Language Identification in Greek Tweets
by: Mylonas, Nikolaos, et al.
Published: (2024)
by: Mylonas, Nikolaos, et al.
Published: (2024)
Automated Data Enrichment using Confidence-Aware Fine-Grained Debate among Open-Source LLMs for Mental Health and Online Safety
by: Mao, Junyu, et al.
Published: (2025)
by: Mao, Junyu, et al.
Published: (2025)
Wait! There's a Way Out: A Decision Mechanism for Forecasting Conversational Derailment
by: Kim, Laerdon, et al.
Published: (2026)
by: Kim, Laerdon, et al.
Published: (2026)
Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large Language Model
by: Lifelo, Zita, et al.
Published: (2024)
by: Lifelo, Zita, et al.
Published: (2024)
Building Multilingual Datasets for Predicting Mental Health Severity through LLMs: Prospects and Challenges
by: Skianis, Konstantinos, et al.
Published: (2024)
by: Skianis, Konstantinos, et al.
Published: (2024)
Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models
by: Zhang, Jingyang, et al.
Published: (2024)
by: Zhang, Jingyang, et al.
Published: (2024)
A Benchmark Suite of Reddit-Derived Datasets for Mental Health Detection
by: Hasan, Khalid, et al.
Published: (2026)
by: Hasan, Khalid, et al.
Published: (2026)
On-Policy RL with Optimal Reward Baseline
by: Hao, Yaru, et al.
Published: (2025)
by: Hao, Yaru, et al.
Published: (2025)
Stronger Random Baselines for In-Context Learning
by: Yauney, Gregory, et al.
Published: (2024)
by: Yauney, Gregory, et al.
Published: (2024)
Task Schema and Binding: A Double Dissociation Study of In-Context Learning
by: Kim, Chaeha
Published: (2025)
by: Kim, Chaeha
Published: (2025)
LegalLens Shared Task 2024: Legal Violation Identification in Unstructured Text
by: Hagag, Ben, et al.
Published: (2024)
by: Hagag, Ben, et al.
Published: (2024)
Dynamic Topic Language Model on Heterogeneous Children's Mental Health Clinical Notes
by: Ye, Hanwen, et al.
Published: (2023)
by: Ye, Hanwen, et al.
Published: (2023)
MentalChat16K: A Benchmark Dataset for Conversational Mental Health Assistance
by: Xu, Jia, et al.
Published: (2025)
by: Xu, Jia, et al.
Published: (2025)
Compared to What? Baselines and Metrics for Counterfactual Prompting
by: Yang, Zihao, et al.
Published: (2026)
by: Yang, Zihao, et al.
Published: (2026)
Whitening Not Recommended for Classification Tasks in LLMs
by: Forooghi, Ali, et al.
Published: (2024)
by: Forooghi, Ali, et al.
Published: (2024)
NJUST-KMG at TRAC-2024 Tasks 1 and 2: Offline Harm Potential Identification
by: Wang, Jingyuan, et al.
Published: (2024)
by: Wang, Jingyuan, et al.
Published: (2024)
Ensemble BERT for Medication Event Classification on Electronic Health Records (EHRs)
by: Sarker, Shouvon, et al.
Published: (2025)
by: Sarker, Shouvon, et al.
Published: (2025)
Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data
by: Kim, Yubin, et al.
Published: (2024)
by: Kim, Yubin, et al.
Published: (2024)
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification
by: Lim, Sehee, et al.
Published: (2024)
by: Lim, Sehee, et al.
Published: (2024)
Data Augmentation for Classification of Negative Pregnancy Outcomes in Imbalanced Data
by: Biswas, Md Badsha
Published: (2025)
by: Biswas, Md Badsha
Published: (2025)
Adaptive Task Vectors for Large Language Models
by: Kang, Joonseong, et al.
Published: (2025)
by: Kang, Joonseong, et al.
Published: (2025)
Bridging Electronic Health Records and Clinical Texts: Contrastive Learning for Enhanced Clinical Tasks
by: Ketabi, Sara, et al.
Published: (2025)
by: Ketabi, Sara, et al.
Published: (2025)
Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social Media
by: Qi, Hongzhi, et al.
Published: (2023)
by: Qi, Hongzhi, et al.
Published: (2023)
Mitigating Extrinsic Gender Bias for Bangla Classification Tasks
by: Joy, Sajib Kumar Saha, et al.
Published: (2024)
by: Joy, Sajib Kumar Saha, et al.
Published: (2024)
Mining Mental Health Signals: A Comparative Study of Four Machine Learning Methods for Depression Detection from Social Media Posts in Sorani Kurdish
by: Mohammed, Idrees, et al.
Published: (2025)
by: Mohammed, Idrees, et al.
Published: (2025)
An Automatic Prompt Generation System for Tabular Data Tasks
by: Akella, Ashlesha, et al.
Published: (2024)
by: Akella, Ashlesha, et al.
Published: (2024)
BlackboxNLP-2025 MIB Shared Task: Exploring Ensemble Strategies for Circuit Localization Methods
by: Mondorf, Philipp, et al.
Published: (2025)
by: Mondorf, Philipp, et al.
Published: (2025)
SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models
by: Ramakrishna, Anil, et al.
Published: (2025)
by: Ramakrishna, Anil, et al.
Published: (2025)
CVPD at QIAS 2025 Shared Task: An Efficient Encoder-Based Approach for Islamic Inheritance Reasoning
by: Bekhouche, Salah Eddine, et al.
Published: (2025)
by: Bekhouche, Salah Eddine, et al.
Published: (2025)
A Dynamic Self-Evolving Extraction System
by: Amin-Naseri, Moin, et al.
Published: (2026)
by: Amin-Naseri, Moin, et al.
Published: (2026)
AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
by: Koh, Woosung, et al.
Published: (2025)
by: Koh, Woosung, et al.
Published: (2025)
Early Detection of Mental Health Issues Using Social Media Posts
by: Saeed, Qasim Bin, et al.
Published: (2025)
by: Saeed, Qasim Bin, et al.
Published: (2025)
Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification
by: Kuo, Hsun-Yu, et al.
Published: (2024)
by: Kuo, Hsun-Yu, et al.
Published: (2024)
GATech at AbjadGenEval Shared Task: Multilingual Embeddings for Arabic Machine-Generated Text Classification
by: Khamis, Ahmed Khaled
Published: (2026)
by: Khamis, Ahmed Khaled
Published: (2026)
Similar Items
-
FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data
by: Abdelkadir, Nuredin Ali, et al.
Published: (2026) -
Decoding Linguistic Nuances in Mental Health Text Classification Using Expressive Narrative Stories
by: Tang, Jinwen, et al.
Published: (2024) -
Evaluating Large Language Models for Health-Related Text Classification Tasks with Public Social Media Data
by: Guo, Yuting, et al.
Published: (2024) -
Evaluating Large Language Models for Public Health Classification and Extraction Tasks
by: Harris, Joshua, et al.
Published: (2024) -
LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based on Twitter Data
by: Deshpande, Vijeta, et al.
Published: (2024)