Detecting Gender Bias in Course Evaluations
Fuente:
arXiv
Saved in:
| Main Authors: | Lindau, Sarah, Nilsson, Linnea |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mitigating Gender Bias in Contextual Word Embeddings
by: Yarrabelly, Navya, et al.
Published: (2024)
by: Yarrabelly, Navya, et al.
Published: (2024)
Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias
by: Chen, Yuen, et al.
Published: (2022)
by: Chen, Yuen, et al.
Published: (2022)
Understanding Gender Bias in AI-Generated Product Descriptions
by: Kelly, Markelle, et al.
Published: (2025)
by: Kelly, Markelle, et al.
Published: (2025)
The Confidence Trap: Gender Bias and Predictive Certainty in LLMs
by: Sabir, Ahmed, et al.
Published: (2026)
by: Sabir, Ahmed, et al.
Published: (2026)
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation
by: Vargas, Francisco, et al.
Published: (2020)
by: Vargas, Francisco, et al.
Published: (2020)
Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models
by: Mackraz, Natalie, et al.
Published: (2024)
by: Mackraz, Natalie, et al.
Published: (2024)
GG-BBQ: German Gender Bias Benchmark for Question Answering
by: Satheesh, Shalaka, et al.
Published: (2025)
by: Satheesh, Shalaka, et al.
Published: (2025)
Exploring Gender Bias in Large Language Models: An In-depth Dive into the German Language
by: Gnadt, Kristin, et al.
Published: (2025)
by: Gnadt, Kristin, et al.
Published: (2025)
Assessing Gender Bias in LLMs: Comparing LLM Outputs with Human Perceptions and Official Statistics
by: Bas, Tetiana
Published: (2024)
by: Bas, Tetiana
Published: (2024)
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)
Evaluating LLMs for Demographic-Targeted Social Bias Detection: A Comprehensive Benchmark Study
by: Majumdar, Ayan, et al.
Published: (2025)
by: Majumdar, Ayan, et al.
Published: (2025)
A Course Correction in Steerability Evaluation: Revealing Miscalibration and Side Effects in LLMs
by: Chang, Trenton, et al.
Published: (2025)
by: Chang, Trenton, et al.
Published: (2025)
Explaining Length Bias in LLM-Based Preference Evaluations
by: Hu, Zhengyu, et al.
Published: (2024)
by: Hu, Zhengyu, et al.
Published: (2024)
Bias in Large Language Models: Origin, Evaluation, and Mitigation
by: Guo, Yufei, et al.
Published: (2024)
by: Guo, Yufei, et al.
Published: (2024)
Gender Bias in Instruction-Guided Speech Synthesis Models
by: Kuan, Chun-Yi, et al.
Published: (2025)
by: Kuan, Chun-Yi, et al.
Published: (2025)
MoESD: Mixture of Experts Stable Diffusion to Mitigate Gender Bias
by: Wang, Guorun, et al.
Published: (2024)
by: Wang, Guorun, et al.
Published: (2024)
Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods
by: Dhaini, Mahdi, et al.
Published: (2025)
by: Dhaini, Mahdi, et al.
Published: (2025)
Breaking Language Barriers or Reinforcing Bias? A Study of Gender and Racial Disparities in Multilingual Contrastive Vision Language Models
by: Sahili, Zahraa Al, et al.
Published: (2025)
by: Sahili, Zahraa Al, et al.
Published: (2025)
Failing to Falsify: Evaluating and Mitigating Confirmation Bias in Language Models
by: Jhaveri, Ayush Rajesh, et al.
Published: (2026)
by: Jhaveri, Ayush Rajesh, et al.
Published: (2026)
Benchmarking Gender and Political Bias in Large Language Models
by: Yang, Jinrui, et al.
Published: (2025)
by: Yang, Jinrui, et al.
Published: (2025)
What's in a Name? Auditing Large Language Models for Race and Gender Bias
by: Salinas, Alejandro, et al.
Published: (2024)
by: Salinas, Alejandro, et al.
Published: (2024)
Overview of the 2023 ICON Shared Task on Gendered Abuse Detection in Indic Languages
by: Vaidya, Aatman, et al.
Published: (2024)
by: Vaidya, Aatman, et al.
Published: (2024)
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)
On the "Induction Bias" in Sequence Models
by: Ebrahimi, M. Reza, et al.
Published: (2026)
by: Ebrahimi, M. Reza, et al.
Published: (2026)
Soft-prompt Tuning for Large Language Models to Evaluate Bias
by: Tian, Jacob-Junqi, et al.
Published: (2023)
by: Tian, Jacob-Junqi, et al.
Published: (2023)
Bridging Human and Model Perspectives: A Comparative Analysis of Political Bias Detection in News Media Using Large Language Models
by: Banik, Shreya Adrita, et al.
Published: (2025)
by: Banik, Shreya Adrita, et al.
Published: (2025)
Mitigating Bias in RAG: Controlling the Embedder
by: Kim, Taeyoun, et al.
Published: (2025)
by: Kim, Taeyoun, et al.
Published: (2025)
MORPHOGEN: A Multilingual Benchmark for Evaluating Gender-Aware Morphological Generation
by: Agarwal, Mehul, et al.
Published: (2026)
by: Agarwal, Mehul, et al.
Published: (2026)
Investigating Annotator Bias in Large Language Models for Hate Speech Detection
by: Das, Amit, et al.
Published: (2024)
by: Das, Amit, et al.
Published: (2024)
ParlAI Vote: A Web Platform for Analyzing Gender and Political Bias in Large Language Models
by: Lin, Wenjie, et al.
Published: (2025)
by: Lin, Wenjie, et al.
Published: (2025)
Reasoning Bias of Next Token Prediction Training
by: Lin, Pengxiao, et al.
Published: (2025)
by: Lin, Pengxiao, et al.
Published: (2025)
PRECISE: Reducing the Bias of LLM Evaluations Using Prediction-Powered Ranking Estimation
by: Divekar, Abhishek, et al.
Published: (2026)
by: Divekar, Abhishek, et al.
Published: (2026)
Exploring Gender Differences in Chronic Pain Discussions on Reddit
by: Andrade, Ancita Maria, et al.
Published: (2025)
by: Andrade, Ancita Maria, et al.
Published: (2025)
The Point of View of a Sentiment: Towards Clinician Bias Detection in Psychiatric Notes
by: Valentine, Alissa A., et al.
Published: (2024)
by: Valentine, Alissa A., et al.
Published: (2024)
Diagnosing and Mitigating System Bias in Self-Rewarding RL
by: Tan, Chuyi, et al.
Published: (2025)
by: Tan, Chuyi, et al.
Published: (2025)
LayerNorm Induces Recency Bias in Transformer Decoders
by: Kim, Junu, et al.
Published: (2025)
by: Kim, Junu, et al.
Published: (2025)
Race, Ethnicity and Their Implication on Bias in Large Language Models
by: Hu, Shiyue, et al.
Published: (2026)
by: Hu, Shiyue, et al.
Published: (2026)
How Quantization Shapes Bias in Large Language Models
by: Marcuzzi, Federico, et al.
Published: (2025)
by: Marcuzzi, Federico, et al.
Published: (2025)
An Analysis for Reasoning Bias of Language Models with Small Initialization
by: Yao, Junjie, et al.
Published: (2025)
by: Yao, Junjie, et al.
Published: (2025)
Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation
by: Ruan, Jie, et al.
Published: (2024)
by: Ruan, Jie, et al.
Published: (2024)
Similar Items
-
Mitigating Gender Bias in Contextual Word Embeddings
by: Yarrabelly, Navya, et al.
Published: (2024) -
Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias
by: Chen, Yuen, et al.
Published: (2022) -
Understanding Gender Bias in AI-Generated Product Descriptions
by: Kelly, Markelle, et al.
Published: (2025) -
The Confidence Trap: Gender Bias and Predictive Certainty in LLMs
by: Sabir, Ahmed, et al.
Published: (2026) -
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation
by: Vargas, Francisco, et al.
Published: (2020)