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Found 4 papers, 1 papers with code
Incentive Compatibility for AI Alignment in Sociotechnical Systems: Positions and Prospects
The burgeoning integration of artificial intelligence (AI) into human society brings forth significant implications for societal governance and safety.
Panacea: Pareto Alignment via Preference Adaptation for LLMs
Our work marks a step forward in effectively and efficiently aligning models to diverse and intricate human preferences in a controllable and Pareto-optimal manner.
Red Teaming Game: A Game-Theoretic Framework for Red Teaming Language Models
In this paper, we present Red-teaming Game (RTG), a general game-theoretic framework without manual annotation.
Scalable Model-based Policy Optimization for Decentralized Networked Systems
Reinforcement learning algorithms require a large amount of samples; this often limits their real-world applications on even simple tasks.
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