Imagen de Portada

Exploring Gender Differences in Chronic Pain Discussions on Reddit

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Andrade, Ancita Maria, Banerjee, Tanvi, Mundugar, Ramakrishna
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

The Moral Foundations Reddit Corpus
por: Trager, Jackson, et al.
Publicado: (2022)

Sarcasm Detection on Reddit Using Classical Machine Learning and Feature Engineering
por: Karmaker, Subrata
Publicado: (2025)

Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation
por: Vargas, Francisco, et al.
Publicado: (2020)

Do LLMs Find Human Answers To Fact-Driven Questions Perplexing? A Case Study on Reddit
por: Seegmiller, Parker, et al.
Publicado: (2024)

PoPreRo: A New Dataset for Popularity Prediction of Romanian Reddit Posts
por: Rogoz, Ana-Cristina, et al.
Publicado: (2024)

Exploring Gender Bias in Large Language Models: An In-depth Dive into the German Language
por: Gnadt, Kristin, et al.
Publicado: (2025)

Enhanced Labeling Technique for Reddit Text and Fine-Tuned Longformer Models for Classifying Depression Severity in English and Luganda
por: Kimera, Richard, et al.
Publicado: (2024)

A Benchmark Suite of Reddit-Derived Datasets for Mental Health Detection
por: Hasan, Khalid, et al.
Publicado: (2026)

Voices of Her: Analyzing Gender Differences in the AI Publication World
por: Ding, Yiwen, et al.
Publicado: (2023)

Detecting Reddit Users with Depression Using a Hybrid Neural Network SBERT-CNN
por: Chen, Ziyi, et al.
Publicado: (2023)

REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic Entropy
por: Chang, Haw-Shiuan, et al.
Publicado: (2024)

The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions
por: Wagner, Stefan Sylvius, et al.
Publicado: (2024)

Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond
por: Fan, Chongyu, et al.
Publicado: (2025)

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit
por: Hasan, Khalid, et al.
Publicado: (2024)

Longitudinal Sentiment Classification of Reddit Posts
por: Nwaoha, Fabian, et al.
Publicado: (2024)

Wikipedia is Not a Dictionary, Delete! Text Classification as a Proxy for Analysing Wiki Deletion Discussions
por: Borkakoty, Hsuvas, et al.
Publicado: (2025)

Investigating Gender Fairness in Machine Learning-driven Personalized Care for Chronic Pain
por: Gajane, Pratik, et al.
Publicado: (2024)

Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate
por: Bu, Zhiqi, et al.
Publicado: (2024)

Detecting Gender Bias in Course Evaluations
por: Lindau, Sarah, et al.
Publicado: (2024)

Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions
por: Kaffee, Lucie-Aimée, et al.
Publicado: (2023)

Mitigating Gender Bias in Contextual Word Embeddings
por: Yarrabelly, Navya, et al.
Publicado: (2024)

Detection of Opioid Users from Reddit Posts via an Attention-based Bidirectional Recurrent Neural Network
por: Wang, Yuchen, et al.
Publicado: (2024)

REALEDIT: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations
por: Sushko, Peter, et al.
Publicado: (2025)

Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models
por: Entesari, Taha, et al.
Publicado: (2025)

Exploring Sentiment Dynamics and Predictive Behaviors in Cryptocurrency Discussions by Few-Shot Learning with Large Language Models
por: Tash, Moein Shahiki, et al.
Publicado: (2024)

Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media
por: Ge, Yao, et al.
Publicado: (2024)

Understanding Gender Bias in AI-Generated Product Descriptions
por: Kelly, Markelle, et al.
Publicado: (2025)

The Confidence Trap: Gender Bias and Predictive Certainty in LLMs
por: Sabir, Ahmed, et al.
Publicado: (2026)

How Prevalent is Gender Bias in ChatGPT? -- Exploring German and English ChatGPT Responses
por: Urchs, Stefanie, et al.
Publicado: (2023)

SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models
por: Ramakrishna, Anil, et al.
Publicado: (2025)

LUME: LLM Unlearning with Multitask Evaluations
por: Ramakrishna, Anil, et al.
Publicado: (2025)

The Vulnerability of Language Model Benchmarks: Do They Accurately Reflect True LLM Performance?
por: Banerjee, Sourav, et al.
Publicado: (2024)

Transformer-based Time-to-Event Prediction for Chronic Kidney Disease Deterioration
por: Zisser, Moshe, et al.
Publicado: (2023)

Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
por: Jin, Mingyu, et al.
Publicado: (2024)

PairAlign: A Framework for Sequence Tokenization via Self-Alignment with Applications to Audio Tokenization
por: Banerjee, Adhiraj, et al.
Publicado: (2026)

Overview of the 2023 ICON Shared Task on Gendered Abuse Detection in Indic Languages
por: Vaidya, Aatman, et al.
Publicado: (2024)

Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias
por: Chen, Yuen, et al.
Publicado: (2022)

Assessing Gender Bias in LLMs: Comparing LLM Outputs with Human Perceptions and Official Statistics
por: Bas, Tetiana
Publicado: (2024)

Towards Realistic Synthetic User-Generated Content: A Scaffolding Approach to Generating Online Discussions
por: Balog, Krisztian, et al.
Publicado: (2024)

GG-BBQ: German Gender Bias Benchmark for Question Answering
por: Satheesh, Shalaka, et al.
Publicado: (2025)