Publikationen von J Coda-Forno

Binz, M.; Akata, E.; Bethge, M.; Brändle, F.; Callaway, F.; Coda-Forno, J.; Dayan, P.; Demircan, C.; Eckstein, M.; Éltetö, N. et al.; Griffiths, T.; Haridi, S.; Jagadish, A.; Li, J.-A.; Kipnis, A.; Kumar, S.; Ludwig, T.; Mathony, M.; Mattar, M.; Modirshanechi, A.; Nath, S.; Peterson, J.; Rmus, M.; Russek, E.; Saanum, T.; Schubert, J.; Schulze Buschoff, L.; Singhi, N.; Sui, X.; Thalmann, M.; Theis, F.; Truong, V.; Udandarao, V.; Voudouris, K.; Wilson, R.; Witte, K.; Wu, S.; Wulff, D.; Xiong, H.; Schulz, E.: A foundation model to predict and capture human cognition. Nature 644 (8078), S. 1002 - 1009 (2025)

Akata, E.; Schulz, L.; Coda-Forno, J.; Oh, S.; Bethge, M.; Schulz, E.: Playing repeated games with Large Language Models. Nature Human Behaviour 9 (7), S. 1380 - 1390 (2025)

Coda-Forno, J.; Binz, M.; Akata, Z.; Botvinick, M.; Wang, J.; Schulz, E.: Meta-in-context learning in large language models. In: Advances in Neural Information Processing Systems 36: 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2844, S. 65189 - 65201 (Hg. Ho, A.; Naumann, T.; Globerson, A.; Saenko, K.; Hardt, M. et al.). Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA, 10. Dezember 2023 - 16. Dezember 2023. Curran, Red Hook, NY, USA (2024)

Coda-Forno, J.; Binz, M.; Wang, J.; Schulz, E.: CogBench: a large language model walks into a psychology lab. In: Proceedings of Machine Learning Research: PLMR, Bd. 235, S. 9076 - 9108. 41st International Conference on Machine Learning (ICML 2024), Wien, Austria, 21. Juli 2024 - 27. Juli 2024. (2024)

Jagadish, A.; Coda-Forno, J.; Thalmann, M.; Schulz, E.; Binz, M.: Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks. In: Proceedings of Machine Learning Research: PLMR, Bd. 235, S. 21121 - 21147. 41st International Conference on Machine Learning (ICML 2024), Wien, Austria, 21. Juli 2024 - 27. Juli 2024. (2024)

Jagadish, A.; Coda-Forno, J.; Thalmann, M.; Binz, M.; Schulz, E.: Bounded Ecologically Rational Meta-learned Inference Explains Human Category Learning. In Proceedings of the 47th Annual Conference of the Cognitive Science Society, S. 6673 (Hg. Barner, D.; Bramley, N.; Ruggeri, A.; Walker, C.). 47th Annual Meeting of the Cognitive Science Society (CogSci 2025): Theories of the Past, Theories of the Future, San Francisco, CA, USA, 30. Juli 2025 - 02. August 2025. (2025)

Binz, M.; Akata, E.; Almaatouq, A.; Alsobay, M.; Ariasov, O.; Brändle, F.; Broska, D.; Burton, J.; Busch, N.; Callaway, F. et al.; Cheung, V.; Christian, B.; Coda-Forno, J.; Demircan, C.; Dentella, V.; Eckstein, M.; Éltetö, N.; Franke, M.; Griffiths, T.; Günther, F.; Haridi, S.; Hellmann, S.; Herytash, S.; Hof, L.; Holton, E.; Hoxha, I.; Hussain, Z.; Jagadish, A.; Kara, E.; Kriegmair, V.; Leivada, E.; Ji-An, L.; Ludwig, T.; Maier, M.; Mattar, M.; Mathony, M.; Modirshanechi, A.; Na, R.; Nadverniuk, M.; Nasioulas, A.; Nath, S.; Niemeyer, H.; Nussenbaum, K.; Olschewski, S.; Pachur, T.; Palminteri, S.; Petrenco, A.; Phaneuf-Hadd, C.; Pirrone, A.; Rausch, M.; Raveling, L.; Reddy, S.; Rmus, M.; Russek, E.; Saanum, T.; Sandbrink, K.; Schiekiera, L.; Schubert, J.; Schulze Buschoff, L.; Singhi, N.; Somerville, L.; Spektor, M.; Sui, X.; Summerfield, C.; Thalmann, M.; Thoma, A.; Tikhomirova, T.; Truong, V.; Tsvilodub, P.; Voudouris, K.; Wilson, R.; Witte, K.; Wu, S.; Wulff, D.; Xiong, H.-D.; Xu, S.; Ying, L.; Zhang, X.; Zhu, J.-Q.; Schulz, E.: Post-training makes large language models less human-like. (eingereicht)

Jagadish, A.; Thalmann, M.; Coda-Forno, J.; Binz, M.; Schulz, E.: Meta-learning ecological priors from large language models explains human learning and decision making. (eingereicht)

Coda-Forno, J.; Witte, K.; Jagadish, A.; Binz, M.; Akata, Z.; Schulz, E.: Inducing anxiety in large language models increases exploration and bias. (eingereicht)