4 papers
Identity or Prompt Noise? A Calibrated Invariance Audit of LLM Code Generation
Maksim E. Eren, Ryan Barron, Eric Michalak +2
Identity cues are irrelevant to a fixed programming specification, but raw counterfactual differences can arise from unequal samples and prompt wording. We audit 30.73 million exec…
Occupational Prompting Reveals Cultural Bias in Large Language Models
Maksim E. Eren, Andrea Brennen, Ryan C. Barron +1
Social roles shape expectations, priorities, and judgments, yet it remains unclear how large language models (LLMs) associate occupational identities with broader cultural value pa…
Prompt Programming for Cultural Bias and Alignment of Large Language Models
Maksim Eren, Eric Michalak, Brian Cook +1
Culture shapes reasoning, values, prioritization, and strategic decision-making, yet large language models (LLMs) often exhibit cultural biases that misalign with target population…
The ISTI Rapid Response on Exploring Cloud Computing 2018
Carleton Coffrin, James Arnold, Stephan Eidenbenz +45
This report describes eighteen projects that explored how commercial cloud computing services can be utilized for scientific computation at national laboratories. These demonstrati…