CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Song, Wang, Peng, Zhou, Tong, Dong, Yushun, Tan, Zhen, Li, Jundong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Harnessing Large Language Models for Disaster Management: A Survey
by: Lei, Zhenyu, et al.
Published: (2025)
by: Lei, Zhenyu, et al.
Published: (2025)
Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models
by: Liu, Haochen, et al.
Published: (2025)
by: Liu, Haochen, et al.
Published: (2025)
A Benchmark for Fairness-Aware Graph Learning
by: Dong, Yushun, et al.
Published: (2024)
by: Dong, Yushun, et al.
Published: (2024)
Certified Defense on the Fairness of Graph Neural Networks
by: Dong, Yushun, et al.
Published: (2023)
by: Dong, Yushun, et al.
Published: (2023)
Knowledge Graph-Enhanced Large Language Models via Path Selection
by: Liu, Haochen, et al.
Published: (2024)
by: Liu, Haochen, et al.
Published: (2024)
MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models
by: Ding, Peng, et al.
Published: (2024)
by: Ding, Peng, et al.
Published: (2024)
Probing to Refine: Reinforcement Distillation of LLMs via Explanatory Inversion
by: Tan, Zhen, et al.
Published: (2026)
by: Tan, Zhen, et al.
Published: (2026)
Fairness in Large Language Models in Three Hours
by: Viet, Thang Doan, et al.
Published: (2024)
by: Viet, Thang Doan, et al.
Published: (2024)
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction
by: He, Yinhan, et al.
Published: (2024)
by: He, Yinhan, et al.
Published: (2024)
Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models
by: Song, Kefan, et al.
Published: (2025)
by: Song, Kefan, et al.
Published: (2025)
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation
by: Liu, Haochen, et al.
Published: (2024)
by: Liu, Haochen, et al.
Published: (2024)
KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models
by: Zheng, Zaiyi, et al.
Published: (2025)
by: Zheng, Zaiyi, et al.
Published: (2025)
MUCAR: Benchmarking Multilingual Cross-Modal Ambiguity Resolution for Multimodal Large Language Models
by: Wang, Xiaolong, et al.
Published: (2025)
by: Wang, Xiaolong, et al.
Published: (2025)
TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting
by: Li, Lincan, et al.
Published: (2025)
by: Li, Lincan, et al.
Published: (2025)
ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios
by: Wei, Shou'ang, et al.
Published: (2025)
by: Wei, Shou'ang, et al.
Published: (2025)
MLB: A Scenario-Driven Benchmark for Evaluating Large Language Models in Clinical Applications
by: He, Qing, et al.
Published: (2026)
by: He, Qing, et al.
Published: (2026)
CEQuest: Benchmarking Large Language Models for Construction Estimation
by: Wu, Yanzhao, et al.
Published: (2025)
by: Wu, Yanzhao, et al.
Published: (2025)
TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators
by: Li, Jianling, et al.
Published: (2025)
by: Li, Jianling, et al.
Published: (2025)
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models
by: Wu, Junda, et al.
Published: (2024)
by: Wu, Junda, et al.
Published: (2024)
GLBench: A Comprehensive Benchmark for Graph with Large Language Models
by: Li, Yuhan, et al.
Published: (2024)
by: Li, Yuhan, et al.
Published: (2024)
Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models
by: Zhuo, Zhijian, et al.
Published: (2024)
by: Zhuo, Zhijian, et al.
Published: (2024)
Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks
by: Lin, Fangru, et al.
Published: (2024)
by: Lin, Fangru, et al.
Published: (2024)
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts
by: Kang, Junmo, et al.
Published: (2024)
by: Kang, Junmo, et al.
Published: (2024)
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition
by: Dong, Guanting, et al.
Published: (2023)
by: Dong, Guanting, et al.
Published: (2023)
Can I understand what I create? Self-Knowledge Evaluation of Large Language Models
by: Tan, Zhiquan, et al.
Published: (2024)
by: Tan, Zhiquan, et al.
Published: (2024)
Benchmarking Benchmark Leakage in Large Language Models
by: Xu, Ruijie, et al.
Published: (2024)
by: Xu, Ruijie, et al.
Published: (2024)
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
by: Dong, Yushun, et al.
Published: (2024)
by: Dong, Yushun, et al.
Published: (2024)
FERA: Uncertainty-Aware Federated Reasoning for Large Language Models
by: Wang, Ruhan, et al.
Published: (2026)
by: Wang, Ruhan, et al.
Published: (2026)
AECBench: A Hierarchical Benchmark for Knowledge Evaluation of Large Language Models in the AEC Field
by: Liang, Chen, et al.
Published: (2025)
by: Liang, Chen, et al.
Published: (2025)
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery
by: Song, Xiaoshuai, et al.
Published: (2024)
by: Song, Xiaoshuai, et al.
Published: (2024)
Understanding Subword Compositionality of Large Language Models
by: Peng, Qiwei, et al.
Published: (2025)
by: Peng, Qiwei, et al.
Published: (2025)
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization
by: Liu, Yixin, et al.
Published: (2023)
by: Liu, Yixin, et al.
Published: (2023)
Bias and Fairness in Large Language Models: A Survey
by: Gallegos, Isabel O., et al.
Published: (2023)
by: Gallegos, Isabel O., et al.
Published: (2023)
MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models
by: Xia, Peng, et al.
Published: (2024)
by: Xia, Peng, et al.
Published: (2024)
Learning from Diverse Reasoning Paths with Routing and Collaboration
by: Lei, Zhenyu, et al.
Published: (2025)
by: Lei, Zhenyu, et al.
Published: (2025)
Exploring Context Window of Large Language Models via Decomposed Positional Vectors
by: Dong, Zican, et al.
Published: (2024)
by: Dong, Zican, et al.
Published: (2024)
Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning
by: Pasewark, Eric, et al.
Published: (2024)
by: Pasewark, Eric, et al.
Published: (2024)
Fact or Guesswork? Evaluating Large Language Models' Medical Knowledge with Structured One-Hop Judgments
by: Li, Jiaxi, et al.
Published: (2025)
by: Li, Jiaxi, et al.
Published: (2025)
CodeJudge: Evaluating Code Generation with Large Language Models
by: Tong, Weixi, et al.
Published: (2024)
by: Tong, Weixi, 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)
Similar Items
-
Harnessing Large Language Models for Disaster Management: A Survey
by: Lei, Zhenyu, et al.
Published: (2025) -
Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models
by: Liu, Haochen, et al.
Published: (2025) -
A Benchmark for Fairness-Aware Graph Learning
by: Dong, Yushun, et al.
Published: (2024) -
Certified Defense on the Fairness of Graph Neural Networks
by: Dong, Yushun, et al.
Published: (2023) -
Knowledge Graph-Enhanced Large Language Models via Path Selection
by: Liu, Haochen, et al.
Published: (2024)