论文:Guo, Fulin. "GPT Agents in Game Theory Experiments." arXiv preprint arXiv:2305.05516 (2023).0 0 发表评论 发表 作者最近动态 momo酱 2024-12-06 适合反复使用的情绪文案集锦 🌊 1. “...全文 +1 momo酱 2024-12-06 绘画分享 | 感谢大佬们的无偿作品!每...全文 +2 momo酱 2024-12-...
[1] Gibbons R, Gibbons R. A primer in game theory[J]. 1992. [2] Toriumi F, Osawa H, Inaba M, et al. AI wolf contest—development of game AI using collective intelligence—[C]//Computer Games: 5th Workshop on Computer Games, CGW 2016, and 5th Workshop on General Intelligence in ...
[8] Bubeck S, Chandrasekaran V, Eldan R, et al. Sparks of artificial general intelligence: Early experiments with gpt-4[J]. arXiv preprint arXiv:2303.12712, 2023. [9] Shapira N, Levy M, Alavi S H, et al. Clever hans or neural theory of mind? stress testing social reasoning in larg...
CGW 2016, and 5th Workshop on General Intelligence in Game-Playing Agents, GIGA 2016, Held in Conjunction with the 25th International Conference on Artificial Intelligence, IJCAI 2016, New York, USA, July 9-10
[8] Bubeck S, Chandrasekaran V, Eldan R, et al. Sparks of artificial general intelligence: Early experiments withgpt-4[J]. arXiv preprint arXiv:2303.12712, 2023. [9] Shapira N, Levy M, Alavi S H, et al. Clever hans or neural theory of mind? stress testing social reasoning in large...
[8] Bubeck S, Chandrasekaran V, Eldan R, et al. Sparks of artificial general intelligence: Early experiments with gpt-4[J]. arXiv preprint arXiv:2303.12712, 2023. [9] Shapira N, Levy M, Alavi S H, et al. Clever hans or neural theory of mind? stress testing social reasoning in larg...
Sparks of Artificial General Intelligence: Early experiments with GPT-4. Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, Harsha Nori, Hamid Palangi, Marco Tulio Ribeiro, Yi Zhang. [abs], 2023.3...
Commonsense reasoning and commonsense knowledge in arti-ficial intelligence. Communications of the ACM, 58(9):92–103, 2015.[ES16] Ronen Eldan and Ohad Shamir. The power of depth for feedforward neural networks. In29th Annual Conference on Learning Theory, volume 49 of Proceedings of Machine ...
depth_from_video_in_the_wild design_bipartite_experiments dialogue_ope dichotomy_of_control dictionary_learning didi_dataset differentiable_data_selection differentially_private_gnns diffusion_distillation dimensions_of_motion dipper direction_net disarm dissecting_factual_predictions distinguishing_...
Instead, as we show in this work, LLMs can be studied using methods designed to investigate another capable and opaque structure, namely the human mind. Our approach falls within a quickly growing category of studies employing classic psychological tests and experiments to probe LLM ‘psychological...