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FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation
Arxiv
0+阅读 · 9月30日
On Explaining Proxy Discrimination and Unfairness in Individual Decisions Made by AI Systems
Arxiv
0+阅读 · 9月30日
Deconstructing Self-Bias in LLM-generated Translation Benchmarks
Arxiv
0+阅读 · 9月30日
SeedPrints: Fingerprints Can Even Tell Which Seed Your Large Language Model Was Trained From
Arxiv
0+阅读 · 9月30日
Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects
Arxiv
0+阅读 · 9月29日
Mapping beyond diseases: Controlled variable selection for secondary phenotypes using tilted knockoffs
Arxiv
0+阅读 · 9月30日
Artificial Authority: From Machine Minds to Political Alignments. An Experimental Analysis of Democratic and Autocratic Biases in Large-Language Models
Arxiv
0+阅读 · 9月29日
RADAR: A Risk-Aware Dynamic Multi-Agent Framework for LLM Safety Evaluation via Role-Specialized Collaboration
Arxiv
0+阅读 · 9月28日
Bias-Reduced Estimation of Structural Equation Models
Arxiv
0+阅读 · 9月29日
Exact Bias of Linear TRNG Correctors - Spectral Approach
Arxiv
0+阅读 · 9月30日
The Silent Judge: Unacknowledged Shortcut Bias in LLM-as-a-Judge
Arxiv
0+阅读 · 9月30日
Fairness Testing in Retrieval-Augmented Generation: How Small Perturbations Reveal Bias in Small Language Models
Fairness Testing in Retrieval-Augmented Generation: How Small Perturbations Reveal Bias in Small Language Models
Arxiv
0+阅读 · 9月30日
Meta-Router: Bridging Gold-standard and Preference-based Evaluations in Large Language Model Routing
Arxiv
0+阅读 · 9月29日
RoleConflictBench: A Benchmark of Role Conflict Scenarios for Evaluating LLMs' Contextual Sensitivity
Arxiv
0+阅读 · 9月30日
A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models
Arxiv
0+阅读 · 9月29日
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