Sexism Detection on a Data Diet
Fuente:
arXiv
Saved in:
| Main Authors: | Bandyopadhyay, Rabiraj, Assenmacher, Dennis, Moral, Jose M. Alonso, Wagner, Claudia |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond the Explicit: A Bilingual Dataset for Dehumanization Detection in Social Media
by: Assenmacher, Dennis, et al.
Published: (2025)
by: Assenmacher, Dennis, et al.
Published: (2025)
Learning from Convenience Samples: A Case Study on Fine-Tuning LLMs for Survey Non-response in the German Longitudinal Election Study
by: Holtdirk, Tobias, et al.
Published: (2025)
by: Holtdirk, Tobias, et al.
Published: (2025)
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
by: Sen, Indira, et al.
Published: (2023)
by: Sen, Indira, et al.
Published: (2023)
Are LLMs Enough for Hyperpartisan, Fake, Polarized and Harmful Content Detection? Evaluating In-Context Learning vs. Fine-Tuning
by: Maggini, Michele Joshua, et al.
Published: (2025)
by: Maggini, Michele Joshua, et al.
Published: (2025)
Measuring Dimensions of Self-Presentation in Twitter Bios and their Links to Misinformation Sharing
by: Madani, Navid, et al.
Published: (2023)
by: Madani, Navid, et al.
Published: (2023)
Personas with Attitudes: Controlling LLMs for Diverse Data Annotation
by: Fröhling, Leon, et al.
Published: (2024)
by: Fröhling, Leon, et al.
Published: (2024)
A Modular Taxonomy for Hate Speech Definitions and Its Impact on Zero-Shot LLM Classification Performance
by: Melis, Matteo, et al.
Published: (2025)
by: Melis, Matteo, et al.
Published: (2025)
Explaining Matters: Leveraging Definitions and Semantic Expansion for Sexism Detection
by: Khan, Sahrish, et al.
Published: (2025)
by: Khan, Sahrish, et al.
Published: (2025)
Tell Me What You Know About Sexism: Expert-LLM Interaction Strategies and Co-Created Definitions for Zero-Shot Sexism Detection
by: Reuver, Myrthe, et al.
Published: (2025)
by: Reuver, Myrthe, et al.
Published: (2025)
Dataset Creation and Baseline Models for Sexism Detection in Hausa
by: Muhammad, Fatima Adam, et al.
Published: (2025)
by: Muhammad, Fatima Adam, et al.
Published: (2025)
The Unseen Targets of Hate -- A Systematic Review of Hateful Communication Datasets
by: Yu, Zehui, et al.
Published: (2024)
by: Yu, Zehui, et al.
Published: (2024)
You are a Bot! -- Studying the Development of Bot Accusations on Twitter
by: Assenmacher, Dennis, et al.
Published: (2023)
by: Assenmacher, Dennis, et al.
Published: (2023)
Mario at EXIST 2025: A Simple Gateway to Effective Multilingual Sexism Detection
by: Tian, Lin, et al.
Published: (2025)
by: Tian, Lin, et al.
Published: (2025)
An Adaptive Supervised Contrastive Learning Framework for Implicit Sexism Detection in Digital Social Networks
by: Rehman, Mohammad Zia Ur, et al.
Published: (2025)
by: Rehman, Mohammad Zia Ur, et al.
Published: (2025)
Re-examining Sexism and Misogyny Classification with Annotator Attitudes
by: Jiang, Aiqi, et al.
Published: (2024)
by: Jiang, Aiqi, et al.
Published: (2024)
Beyond Binary Classification: Detecting Fine-Grained Sexism in Social Media Videos
by: De Grazia, Laura, et al.
Published: (2026)
by: De Grazia, Laura, et al.
Published: (2026)
Demographic Biases and Gaps in the Perception of Sexism in Large Language Models
by: Tavarez-Rodríguez, Judith, et al.
Published: (2025)
by: Tavarez-Rodríguez, Judith, et al.
Published: (2025)
When in Doubt, Consult: Expert Debate for Sexism Detection via Confidence-Based Routing
by: Alajmi, Anwar, et al.
Published: (2025)
by: Alajmi, Anwar, et al.
Published: (2025)
MuSeD: A Multimodal Spanish Dataset for Sexism Detection in Social Media Videos
by: De Grazia, Laura, et al.
Published: (2025)
by: De Grazia, Laura, et al.
Published: (2025)
Reinforcement Learning for Latent-Space Thinking in LLMs
by: Özeren, Enes, et al.
Published: (2025)
by: Özeren, Enes, et al.
Published: (2025)
FHSTP@EXIST 2025 Benchmark: Sexism Detection with Transparent Speech Concept Bottleneck Models
by: Labadie-Tamayo, Roberto, et al.
Published: (2025)
by: Labadie-Tamayo, Roberto, et al.
Published: (2025)
Do Psychometric Tests Work for Large Language Models? Evaluation of Tests on Sexism, Racism, and Morality
by: Jung, Jana, et al.
Published: (2025)
by: Jung, Jana, et al.
Published: (2025)
Trustworthy Data-driven Chronological Age Estimation from Panoramic Dental Images
by: Vivel-Couso, Ainhoa, et al.
Published: (2026)
by: Vivel-Couso, Ainhoa, et al.
Published: (2026)
Can OpenSource beat ChatGPT? -- A Comparative Study of Large Language Models for Text-to-Code Generation
by: Mayer, Luis, et al.
Published: (2024)
by: Mayer, Luis, et al.
Published: (2024)
Bilingual Sexism Classification: Fine-Tuned XLM-RoBERTa and GPT-3.5 Few-Shot Learning
by: Azadi, AmirMohammad, et al.
Published: (2024)
by: Azadi, AmirMohammad, et al.
Published: (2024)
promptolution: A Unified, Modular Framework for Prompt Optimization
by: Zehle, Tom, et al.
Published: (2025)
by: Zehle, Tom, et al.
Published: (2025)
taz2024full: Analysing German Newspapers for Gender Bias and Discrimination across Decades
by: Urchs, Stefanie, et al.
Published: (2025)
by: Urchs, Stefanie, et al.
Published: (2025)
Fair Play in the Newsroom: Actor-Based Filtering Gender Discrimination in Text Corpora
by: Urchs, Stefanie, et al.
Published: (2025)
by: Urchs, Stefanie, et al.
Published: (2025)
A Bayesian approach to modeling topic-metadata relationships
by: Schulze, P., et al.
Published: (2021)
by: Schulze, P., et al.
Published: (2021)
Detecting Sexism in German Online Newspaper Comments with Open-Source Text Embeddings (Team GDA, GermEval2024 Shared Task 1: GerMS-Detect, Subtasks 1 and 2, Closed Track)
by: Bremm, Florian, et al.
Published: (2024)
by: Bremm, Florian, et al.
Published: (2024)
Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text Generation
by: Arias, Esteban Garces, et al.
Published: (2024)
by: Arias, Esteban Garces, et al.
Published: (2024)
The Truncation Blind Spot: How Decoding Strategies Systematically Exclude Human-Like Token Choices
by: Arias, Esteban Garces, et al.
Published: (2026)
by: Arias, Esteban Garces, et al.
Published: (2026)
Statistical Multicriteria Evaluation of LLM-Generated Text
by: Arias, Esteban Garces, et al.
Published: (2025)
by: Arias, Esteban Garces, et al.
Published: (2025)
From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning Tasks
by: Stephan, Andreas, et al.
Published: (2024)
by: Stephan, Andreas, et al.
Published: (2024)
Modern Models, Medieval Texts: A POS Tagging Study of Old Occitan
by: Schöffel, Matthias, et al.
Published: (2025)
by: Schöffel, Matthias, et al.
Published: (2025)
ValiText -- a unified validation framework for computational text-based measures of social constructs
by: Birkenmaier, Lukas, et al.
Published: (2023)
by: Birkenmaier, Lukas, et al.
Published: (2023)
Lost in Translation? Exploring the Shift in Grammatical Gender from Latin to Occitan
by: Chatterjee, Ahan, et al.
Published: (2026)
by: Chatterjee, Ahan, et al.
Published: (2026)
How Prevalent is Gender Bias in ChatGPT? -- Exploring German and English ChatGPT Responses
by: Urchs, Stefanie, et al.
Published: (2023)
by: Urchs, Stefanie, et al.
Published: (2023)
Sparse Semantic Dimension as a Generalization Certificate for LLMs
by: Bandyopadhyay, Dibyanayan, et al.
Published: (2026)
by: Bandyopadhyay, Dibyanayan, et al.
Published: (2026)
Is This a Bad Table? A Closer Look at the Evaluation of Table Generation from Text
by: Ramu, Pritika, et al.
Published: (2024)
by: Ramu, Pritika, et al.
Published: (2024)
Similar Items
-
Beyond the Explicit: A Bilingual Dataset for Dehumanization Detection in Social Media
by: Assenmacher, Dennis, et al.
Published: (2025) -
Learning from Convenience Samples: A Case Study on Fine-Tuning LLMs for Survey Non-response in the German Longitudinal Election Study
by: Holtdirk, Tobias, et al.
Published: (2025) -
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
by: Sen, Indira, et al.
Published: (2023) -
Are LLMs Enough for Hyperpartisan, Fake, Polarized and Harmful Content Detection? Evaluating In-Context Learning vs. Fine-Tuning
by: Maggini, Michele Joshua, et al.
Published: (2025) -
Measuring Dimensions of Self-Presentation in Twitter Bios and their Links to Misinformation Sharing
by: Madani, Navid, et al.
Published: (2023)