Zobrazeno 1 - 3
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pro vyhledávání: '"Piatti, Giorgio"'
Autor:
Jin, Zhijing, Levine, Sydney, Kleiman-Weiner, Max, Piatti, Giorgio, Liu, Jiarui, Adauto, Fernando Gonzalez, Ortu, Francesco, Strausz, András, Sachan, Mrinmaya, Mihalcea, Rada, Choi, Yejin, Schölkopf, Bernhard
As large language models (LLMs) are deployed in more and more real-world situations, it is crucial to understand their decision-making when faced with moral dilemmas. Inspired by a large-scale cross-cultural study of human moral preferences, "The Mor
Externí odkaz:
http://arxiv.org/abs/2407.02273
Autor:
Corecco, Nathan, Piatti, Giorgio, Lanzendörfer, Luca A., Fan, Flint Xiaofeng, Wattenhofer, Roger
Reinforcement learning (RL) has gained popularity in the realm of recommender systems due to its ability to optimize long-term rewards and guide users in discovering relevant content. However, the successful implementation of RL in recommender system
Externí odkaz:
http://arxiv.org/abs/2406.01631
Autor:
Piatti, Giorgio, Jin, Zhijing, Kleiman-Weiner, Max, Schölkopf, Bernhard, Sachan, Mrinmaya, Mihalcea, Rada
As AI systems pervade human life, ensuring that large language models (LLMs) make safe decisions remains a significant challenge. We introduce the Governance of the Commons Simulation (GovSim), a generative simulation platform designed to study strat
Externí odkaz:
http://arxiv.org/abs/2404.16698