A Group Fairness Lens for Large Language Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Bi, Guanqun, Xie, Yuqiang, Shen, Lei, Cao, Yanan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Leveraging Adaptive Group Negotiation for Heterogeneous Multi-Robot Collaboration with Large Language Models
por: Song, Siqi, et al.
Publicado: (2025)
por: Song, Siqi, et al.
Publicado: (2025)
SS-GEN: A Social Story Generation Framework with Large Language Models
por: Feng, Yi, et al.
Publicado: (2024)
por: Feng, Yi, et al.
Publicado: (2024)
ToMBench: Benchmarking Theory of Mind in Large Language Models
por: Chen, Zhuang, et al.
Publicado: (2024)
por: Chen, Zhuang, et al.
Publicado: (2024)
LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models
por: Zhang, Ming, et al.
Publicado: (2025)
por: Zhang, Ming, et al.
Publicado: (2025)
Lens: Rethinking Multilingual Enhancement for Large Language Models
por: Zhao, Weixiang, et al.
Publicado: (2024)
por: Zhao, Weixiang, et al.
Publicado: (2024)
Intersectional Fairness in Large Language Models
por: Boufaied, Chaima, et al.
Publicado: (2026)
por: Boufaied, Chaima, et al.
Publicado: (2026)
LogitLens4LLMs: Extending Logit Lens Analysis to Modern Large Language Models
por: Wang, Zhenyu
Publicado: (2025)
por: Wang, Zhenyu
Publicado: (2025)
FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models
por: Bai, Yanhong, et al.
Publicado: (2024)
por: Bai, Yanhong, et al.
Publicado: (2024)
From Trade-off to Synergy: A Versatile Symbiotic Watermarking Framework for Large Language Models
por: Wang, Yidan, et al.
Publicado: (2025)
por: Wang, Yidan, et al.
Publicado: (2025)
Enhancing Lexicon-Based Text Embeddings with Large Language Models
por: Lei, Yibin, et al.
Publicado: (2025)
por: Lei, Yibin, et al.
Publicado: (2025)
MAGI: Multi-Agent Guided Interview for Psychiatric Assessment
por: Bi, Guanqun, et al.
Publicado: (2025)
por: Bi, Guanqun, et al.
Publicado: (2025)
LLMs on Trial: Evaluating Judicial Fairness for Large Language Models
por: Hu, Yiran, et al.
Publicado: (2025)
por: Hu, Yiran, et al.
Publicado: (2025)
Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models
por: Song, Kefan, et al.
Publicado: (2025)
por: Song, Kefan, et al.
Publicado: (2025)
Orthogonal Low-rank Adaptation in Lie Groups for Continual Learning of Large Language Models
por: Cao, Kefan, et al.
Publicado: (2025)
por: Cao, Kefan, et al.
Publicado: (2025)
Corpus-Steered Query Expansion with Large Language Models
por: Lei, Yibin, et al.
Publicado: (2024)
por: Lei, Yibin, et al.
Publicado: (2024)
LinguaLens: Towards Interpreting Linguistic Mechanisms of Large Language Models via Sparse Auto-Encoder
por: Jing, Yi, et al.
Publicado: (2025)
por: Jing, Yi, et al.
Publicado: (2025)
CharacterBench: Benchmarking Character Customization of Large Language Models
por: Zhou, Jinfeng, et al.
Publicado: (2024)
por: Zhou, Jinfeng, et al.
Publicado: (2024)
A Survey on Fairness in Large Language Models
por: Li, Yingji, et al.
Publicado: (2023)
por: Li, Yingji, et al.
Publicado: (2023)
Large Language Models are In-Context Molecule Learners
por: Li, Jiatong, et al.
Publicado: (2024)
por: Li, Jiatong, et al.
Publicado: (2024)
Meta-Task Prompting Elicits Embeddings from Large Language Models
por: Lei, Yibin, et al.
Publicado: (2024)
por: Lei, Yibin, et al.
Publicado: (2024)
Large Language Models for Planning: A Comprehensive and Systematic Survey
por: Cao, Pengfei, et al.
Publicado: (2025)
por: Cao, Pengfei, et al.
Publicado: (2025)
Fairness in Large Language Models: A Taxonomic Survey
por: Chu, Zhibo, et al.
Publicado: (2024)
por: Chu, Zhibo, et al.
Publicado: (2024)
SOUP: Token-level Single-sample Mix-policy Reinforcement Learning for Large Language Models
por: Yang, Lei, et al.
Publicado: (2026)
por: Yang, Lei, et al.
Publicado: (2026)
Improving Fairness of Large Language Models in Multi-document Summarization
por: Li, Haoyuan, et al.
Publicado: (2025)
por: Li, Haoyuan, et al.
Publicado: (2025)
Fair-GPTQ: Bias-Aware Quantization for Large Language Models
por: Proskurina, Irina, et al.
Publicado: (2025)
por: Proskurina, Irina, et al.
Publicado: (2025)
Fairness in Large Language Models in Three Hours
por: Viet, Thang Doan, et al.
Publicado: (2024)
por: Viet, Thang Doan, et al.
Publicado: (2024)
Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models
por: Wang, Qingyue, et al.
Publicado: (2023)
por: Wang, Qingyue, et al.
Publicado: (2023)
A Trip Towards Fairness: Bias and De-Biasing in Large Language Models
por: Ranaldi, Leonardo, et al.
Publicado: (2023)
por: Ranaldi, Leonardo, et al.
Publicado: (2023)
Artificial Impressions: Evaluating Large Language Model Behavior Through the Lens of Trait Impressions
por: Deas, Nicholas, et al.
Publicado: (2025)
por: Deas, Nicholas, et al.
Publicado: (2025)
Large Language Models Have Intrinsic Meta-Cognition, but Need a Good Lens
por: Ma, Ziyang, et al.
Publicado: (2025)
por: Ma, Ziyang, et al.
Publicado: (2025)
Bias and Fairness in Large Language Models: A Survey
por: Gallegos, Isabel O., et al.
Publicado: (2023)
por: Gallegos, Isabel O., et al.
Publicado: (2023)
GEB-1.3B: Open Lightweight Large Language Model
por: Wu, Jie, et al.
Publicado: (2024)
por: Wu, Jie, et al.
Publicado: (2024)
Explanation Fairness in Large Language Models: An Empirical Analysis of Disparities in How LLMs Justify Decisions Across Demographic Groups
por: Veldanda, Gautam
Publicado: (2026)
por: Veldanda, Gautam
Publicado: (2026)
Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability
por: Shu, Dong, et al.
Publicado: (2025)
por: Shu, Dong, et al.
Publicado: (2025)
SNS-Bench-VL: Benchmarking Multimodal Large Language Models in Social Networking Services
por: Guo, Hongcheng, et al.
Publicado: (2025)
por: Guo, Hongcheng, et al.
Publicado: (2025)
Test-Time Fairness and Robustness in Large Language Models
por: Cotta, Leonardo, et al.
Publicado: (2024)
por: Cotta, Leonardo, et al.
Publicado: (2024)
Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning
por: Liu, Yu, et al.
Publicado: (2025)
por: Liu, Yu, et al.
Publicado: (2025)
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers
por: Wang, Yuan, et al.
Publicado: (2024)
por: Wang, Yuan, et al.
Publicado: (2024)
Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling
por: Liu, Shuliang, et al.
Publicado: (2025)
por: Liu, Shuliang, et al.
Publicado: (2025)
Knowledge Fusion of Large Language Models
por: Wan, Fanqi, et al.
Publicado: (2024)
por: Wan, Fanqi, et al.
Publicado: (2024)
Ejemplares similares
-
Leveraging Adaptive Group Negotiation for Heterogeneous Multi-Robot Collaboration with Large Language Models
por: Song, Siqi, et al.
Publicado: (2025) -
SS-GEN: A Social Story Generation Framework with Large Language Models
por: Feng, Yi, et al.
Publicado: (2024) -
ToMBench: Benchmarking Theory of Mind in Large Language Models
por: Chen, Zhuang, et al.
Publicado: (2024) -
LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models
por: Zhang, Ming, et al.
Publicado: (2025) -
Lens: Rethinking Multilingual Enhancement for Large Language Models
por: Zhao, Weixiang, et al.
Publicado: (2024)