On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions
Fuente:
arXiv
Saved in:
| Main Authors: | Nguyen, Dang, Tan, Chenhao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hypothesis Generation with Large Language Models
by: Zhou, Yangqiaoyu, et al.
Published: (2024)
by: Zhou, Yangqiaoyu, et al.
Published: (2024)
HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation
by: Liu, Haokun, et al.
Published: (2025)
by: Liu, Haokun, et al.
Published: (2025)
Literature Meets Data: A Synergistic Approach to Hypothesis Generation
by: Liu, Haokun, et al.
Published: (2024)
by: Liu, Haokun, et al.
Published: (2024)
A Multi-LLM Debiasing Framework
by: Owens, Deonna M., et al.
Published: (2024)
by: Owens, Deonna M., et al.
Published: (2024)
Know Thyself? On the Incapability and Implications of AI Self-Recognition
by: Bai, Xiaoyan, et al.
Published: (2025)
by: Bai, Xiaoyan, et al.
Published: (2025)
The Story is Not the Science: Execution-Grounded Evaluation of Mechanistic Interpretability Research
by: Bai, Xiaoyan, et al.
Published: (2026)
by: Bai, Xiaoyan, et al.
Published: (2026)
LLM-Assisted Content Conditional Debiasing for Fair Text Embedding
by: Deng, Wenlong, et al.
Published: (2024)
by: Deng, Wenlong, et al.
Published: (2024)
CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions
by: Heddaya, Mourad, et al.
Published: (2024)
by: Heddaya, Mourad, et al.
Published: (2024)
GPT-4V Cannot Generate Radiology Reports Yet
by: Jiang, Yuyang, et al.
Published: (2024)
by: Jiang, Yuyang, et al.
Published: (2024)
BiasEdit: Debiasing Stereotyped Language Models via Model Editing
by: Xu, Xin, et al.
Published: (2025)
by: Xu, Xin, et al.
Published: (2025)
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
by: Gallegos, Isabel O., et al.
Published: (2024)
by: Gallegos, Isabel O., et al.
Published: (2024)
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs
by: Ebrahimi, Sana, et al.
Published: (2024)
by: Ebrahimi, Sana, et al.
Published: (2024)
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)
Who is a Better Matchmaker? Human vs. Algorithmic Judge Assignment in a High-Stakes Startup Competition
by: Xi, Sarina, et al.
Published: (2025)
by: Xi, Sarina, et al.
Published: (2025)
Can You Trust an LLM with Your Life-Changing Decision? An Investigation into AI High-Stakes Responses
by: Cahyono, Joshua Adrian, et al.
Published: (2025)
by: Cahyono, Joshua Adrian, et al.
Published: (2025)
Moral Mazes in the Era of LLMs
by: Nguyen, Dang, et al.
Published: (2026)
by: Nguyen, Dang, et al.
Published: (2026)
From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs
by: Chen, Ruxiao, et al.
Published: (2025)
by: Chen, Ruxiao, et al.
Published: (2025)
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
by: Kıcıman, Emre, et al.
Published: (2023)
by: Kıcıman, Emre, et al.
Published: (2023)
Efficient and Personalized Mobile Health Event Prediction via Small Language Models
by: Wang, Xin, et al.
Published: (2024)
by: Wang, Xin, et al.
Published: (2024)
Language Agents as Digital Representatives in Collective Decision-Making
by: Jarrett, Daniel, et al.
Published: (2025)
by: Jarrett, Daniel, et al.
Published: (2025)
Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning
by: Zhao, Yibo, et al.
Published: (2025)
by: Zhao, Yibo, et al.
Published: (2025)
Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models
by: Mersha, Melkamu Abay, et al.
Published: (2025)
by: Mersha, Melkamu Abay, et al.
Published: (2025)
Beyond Behaviorist Representational Harms: A Plan for Measurement and Mitigation
by: Chien, Jennifer, et al.
Published: (2024)
by: Chien, Jennifer, et al.
Published: (2024)
Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis
by: Liu, Shuo, et al.
Published: (2025)
by: Liu, Shuo, et al.
Published: (2025)
A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents
by: Arghal, Raghu, et al.
Published: (2026)
by: Arghal, Raghu, et al.
Published: (2026)
HypoEval: Hypothesis-Guided Evaluation for Natural Language Generation
by: Li, Mingxuan, et al.
Published: (2025)
by: Li, Mingxuan, et al.
Published: (2025)
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey
by: Parraga, Otávio, et al.
Published: (2022)
by: Parraga, Otávio, et al.
Published: (2022)
QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation
by: Nguyen, Bang, et al.
Published: (2025)
by: Nguyen, Bang, et al.
Published: (2025)
On the Detectability of LLM-Generated Text: What Exactly Is LLM-Generated Text?
by: Geng, Mingmeng, et al.
Published: (2025)
by: Geng, Mingmeng, et al.
Published: (2025)
Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulations
by: Wang, Yunzhe, et al.
Published: (2025)
by: Wang, Yunzhe, et al.
Published: (2025)
Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval
by: Wilson, Kyra, et al.
Published: (2024)
by: Wilson, Kyra, et al.
Published: (2024)
Fair outputs, Biased Internals: Causal Potency and Asymmetry of Latent Bias in LLMs for High-Stakes Decisions
by: Tripathy, Jagdish, et al.
Published: (2026)
by: Tripathy, Jagdish, et al.
Published: (2026)
Towards Enriched Controllability for Educational Question Generation
by: Leite, Bernardo, et al.
Published: (2023)
by: Leite, Bernardo, et al.
Published: (2023)
Understanding and Mitigating Risks of Generative AI in Financial Services
by: Gehrmann, Sebastian, et al.
Published: (2025)
by: Gehrmann, Sebastian, et al.
Published: (2025)
DualAlign: Generating Clinically Grounded Synthetic Data
by: Li, Rumeng, et al.
Published: (2025)
by: Li, Rumeng, et al.
Published: (2025)
Prompt-Counterfactual Explanations for Generative AI System Behavior
by: Goethals, Sofie, et al.
Published: (2026)
by: Goethals, Sofie, et al.
Published: (2026)
Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance
by: Imperial, Joseph Marvin, et al.
Published: (2025)
by: Imperial, Joseph Marvin, et al.
Published: (2025)
Laissez-Faire Harms: Algorithmic Biases in Generative Language Models
by: Shieh, Evan, et al.
Published: (2024)
by: Shieh, Evan, et al.
Published: (2024)
Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning
by: Simmons, Gabriel, et al.
Published: (2024)
by: Simmons, Gabriel, et al.
Published: (2024)
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
by: Wang, Jiawei, et al.
Published: (2024)
by: Wang, Jiawei, et al.
Published: (2024)
Similar Items
-
Hypothesis Generation with Large Language Models
by: Zhou, Yangqiaoyu, et al.
Published: (2024) -
HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation
by: Liu, Haokun, et al.
Published: (2025) -
Literature Meets Data: A Synergistic Approach to Hypothesis Generation
by: Liu, Haokun, et al.
Published: (2024) -
A Multi-LLM Debiasing Framework
by: Owens, Deonna M., et al.
Published: (2024) -
Know Thyself? On the Incapability and Implications of AI Self-Recognition
by: Bai, Xiaoyan, et al.
Published: (2025)