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Found 6 papers, 3 papers with code
AI Procurement Checklists: Revisiting Implementation in the Age of AI Governance
Public sector use of AI has been quietly on the rise for the past decade, but only recently have efforts to regulate it entered the cultural zeitgeist.
RewardBench: Evaluating Reward Models for Language Modeling
In this paper, we present RewardBench, a benchmark dataset and code-base for evaluation, to enhance scientific understanding of reward models.
Reward Reports for Reinforcement Learning
Building systems that are good for society in the face of complex societal effects requires a dynamic approach.
Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems
In the long term, reinforcement learning (RL) is considered by many AI theorists to be the most promising path to artificial general intelligence.
AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks
Despite interest in communicating ethical problems and social contexts within the undergraduate curriculum to advance Public Interest Technology (PIT) goals, interventions at the graduate level remain largely unexplored.
The MOSDEF Survey: Environmental dependence of the gas-phase metallicity of galaxies at $1.4 \leq z \leq 2.6$
We find that at $z\sim1. 5$, the average metallicity of galaxies in overdensities with $M_*\sim10^{9. 8}M_\odot, 10^{10. 2}M_\odot$ and $10^{10. 8}M_\odot$ is higher relative to their field counterparts by $0. 094\pm0. 051$, $0. 068\pm0. 028$ and $0. 052\pm0. 043$ dex, respectively.
Astrophysics of Galaxies
