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Julian Coda-Forno
Julian Coda-Forno
ELLIS, Helmholtz/TUM
Verified email at helmholtz-munich.de - Homepage
Title
Cited by
Cited by
Year
Playing repeated games with large language models
E Akata, L Schulz, J Coda-Forno, SJ Oh, M Bethge, E Schulz
arXiv preprint arXiv:2305.16867, 2023
1302023
Inducing anxiety in large language models increases exploration and bias
J Coda-Forno, K Witte, AK Jagadish, M Binz, Z Akata, E Schulz
arXiv preprint arXiv:2304.11111, 2023
612023
Meta-in-context learning in large language models
J Coda-Forno, M Binz, Z Akata, M Botvinick, J Wang, E Schulz
Advances in Neural Information Processing Systems 36, 65189-65201, 2023
462023
CogBench: a large language model walks into a psychology lab
J Coda-Forno, M Binz, JX Wang, E Schulz
41st International Conference on Machine Learning (ICML) 235, 9076-9108, 2024
222024
Human-like category learning by injecting ecological priors from large language models into neural networks
AK Jagadish, J Coda-Forno, M Thalmann, E Schulz, M Binz
arXiv preprint arXiv:2402.01821, 2024
5*2024
Playing repeated games with large language models (arXiv: 2305.16867). arXiv
E Akata, L Schulz, J Coda-Forno, SJ Oh, M Bethge, E Schulz
52023
Centaur: a foundation model of human cognition
M Binz, E Akata, M Bethge, F Brändle, F Callaway, J Coda-Forno, ...
arXiv preprint arXiv:2410.20268, 2024
42024
Leveraging Episodic Memory to Improve World Models for Reinforcement Learning
J Coda-Forno, C Yu, Q Guo, Z Fountas, N Burgess
Memory in Artificial and Real Intelligence (MemARI), NeurIPS workshop, 2022
32022
Inducing anxiety in large language models can induce bias
J Coda-Forno, K Witte, AK Jagadish, M Binz, Z Akata, E Schulz
arXiv preprint arXiv:2304.11111, 2023
12023
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