Zobrazeno 1 - 10
of 493 182
pro vyhledávání: '"P, Bias"'
As LLMs are increasingly integrated into user-facing applications, addressing biases that perpetuate societal inequalities is crucial. While much work has gone into measuring or mitigating biases in these models, fewer studies have investigated their
Externí odkaz:
http://arxiv.org/abs/2411.19240
Large language models (LLMs) often reflect real-world biases, leading to efforts to mitigate these effects and make the models unbiased. Achieving this goal requires defining clear criteria for an unbiased state, with any deviation from these criteri
Externí odkaz:
http://arxiv.org/abs/2411.17338
Large language models (LLMs) have significantly advanced the field of automated code generation. However, a notable research gap exists in the evaluation of social biases that may be present in the code produced by LLMs. To solve this issue, we propo
Externí odkaz:
http://arxiv.org/abs/2411.10351
Autor:
Hickman, Louis, Huynh, Christopher, Gass, Jessica, Booth, Brandon, Kuruzovich, Jason, Tay, Louis
Machine learning (ML) models are increasingly used for personnel assessment and selection (e.g., resume screeners, automatically scored interviews). However, concerns have been raised throughout society that ML assessments may be biased and perpetuat
Externí odkaz:
http://arxiv.org/abs/2410.19003
Open-generation bias benchmarks evaluate social biases in Large Language Models (LLMs) by analyzing their outputs. However, the classifiers used in analysis often have inherent biases, leading to unfair conclusions. This study examines such biases in
Externí odkaz:
http://arxiv.org/abs/2410.11059
Text-To-Image (TTI) Diffusion Models such as DALL-E and Stable Diffusion are capable of generating images from text prompts. However, they have been shown to perpetuate gender stereotypes. These models process data internally in multiple stages and e
Externí odkaz:
http://arxiv.org/abs/2410.07884
Biased human decisions have consequential impacts across various domains, yielding unfair treatment of individuals and resulting in suboptimal outcomes for organizations and society. In recognition of this fact, organizations regularly design and dep
Externí odkaz:
http://arxiv.org/abs/2411.18122
Climate change is intensifying rainfall extremes, making high-resolution precipitation projections crucial for society to better prepare for impacts such as flooding. However, current Global Climate Models (GCMs) operate at spatial resolutions too co
Externí odkaz:
http://arxiv.org/abs/2412.14539
Autor:
Xu, Zhenjie, Chen, Wenqing, Tang, Yi, Li, Xuanying, Hu, Cheng, Chu, Zhixuan, Ren, Kui, Zheng, Zibin, Lu, Zhichao
Natural language processing (NLP) has seen remarkable advancements with the development of large language models (LLMs). Despite these advancements, LLMs often produce socially biased outputs. Recent studies have mainly addressed this problem by prom
Externí odkaz:
http://arxiv.org/abs/2412.15504
Autor:
Hernández-Monteagudo, C., Balaguera-Antolínez, A., von Marttens, R., del Pino, A., Hernán-Caballero, A., Abramo, L. R., Chaves-Montero, J., López-Sanjuan, C., Marra, V., Tempel, E., Aricò, G., Cenarro, J., Cristóbal-Hornillos, D., Marín-Franch, A., Moles, M., Varela, J., Ramió, H. Vázquez, Alcaniz, J., Dupke, R., Ederoclite, A., Sodré Jr., L., Angulo, R. E.
The {\it Javalambre Photometric Local Universe Survey} (J-PLUS) is a {\it spectro-photometric} survey covering about 3,000~deg$^2$ in its third data release (DR3), and containing about 300,000 galaxies with high quality ({\it odds}$>0.8$) photometric
Externí odkaz:
http://arxiv.org/abs/2412.14826