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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.
Measuring Value Understanding in Language Models through Discriminator-Critique Gap
We argue that truly understanding values in LLMs requires considering both "know what" and "know why".
Zero-shot Preference Learning for Offline RL via Optimal Transport
In this paper, we propose a novel zero-shot preference-based RL algorithm that leverages labeled preference data from source tasks to infer labels for target tasks, eliminating the requirement for human queries.
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