1 code implementation • 28 Feb 2024 • Julian Coda-Forno, Marcel Binz, Jane X. Wang, Eric Schulz
Large language models (LLMs) have significantly advanced the field of artificial intelligence.
no code implementations • 6 Feb 2024 • Johannes A. Schubert, Akshay K. Jagadish, Marcel Binz, Eric Schulz
We study the in-context learning dynamics of large language models (LLMs) using three instrumental learning tasks adapted from cognitive psychology.
no code implementations • 2 Feb 2024 • Akshay K. Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, Marcel Binz
We tackle the second challenge by deriving rational agents adapted to these tasks using the framework of meta-learning, leading to a class of models called ecologically rational meta-learned inference (ERMI).
no code implementations • 31 Jan 2024 • Tankred Saanum, Peter Dayan, Eric Schulz
Abstracting the dynamics of the environment with simple models can have several benefits.
no code implementations • 5 Dec 2023 • Marcel Binz, Stephan Alaniz, Adina Roskies, Balazs Aczel, Carl T. Bergstrom, Colin Allen, Daniel Schad, Dirk Wulff, Jevin D. West, Qiong Zhang, Richard M. Shiffrin, Samuel J. Gershman, Ven Popov, Emily M. Bender, Marco Marelli, Matthew M. Botvinick, Zeynep Akata, Eric Schulz
For this opinion piece, we have invited four diverse groups of scientists to reflect on this query, sharing their perspectives and engaging in debate.
1 code implementation • 27 Nov 2023 • Luca M. Schulze Buschoff, Elif Akata, Matthias Bethge, Eric Schulz
A chief goal of artificial intelligence is to build machines that think like people.
1 code implementation • 30 Oct 2023 • Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz
As children grow older, they develop an intuitive understanding of the physical processes around them.
1 code implementation • 15 Jun 2023 • Can Demircan, Tankred Saanum, Leonardo Pettini, Marcel Binz, Blazej M Baczkowski, Paula Kaanders, Christian F Doeller, Mona M Garvert, Eric Schulz
Humans possess the ability to identify and generalize relevant features of natural objects, which aids them in various situations.
1 code implementation • 6 Jun 2023 • Marcel Binz, Eric Schulz
We find that -- after finetuning them on data from psychological experiments -- these models offer accurate representations of human behavior, even outperforming traditional cognitive models in two decision-making domains.
no code implementations • 26 May 2023 • Elif Akata, Lion Schulz, Julian Coda-Forno, Seong Joon Oh, Matthias Bethge, Eric Schulz
In a large set of two players-two strategies games, we find that LLMs are particularly good at games where valuing their own self-interest pays off, like the iterated Prisoner's Dilemma family.
1 code implementation • NeurIPS 2023 • Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata
These findings demonstrate that LLMs are capable of taking on diverse roles and that this in-context impersonation can be used to uncover their hidden strengths and biases.
no code implementations • 21 Apr 2023 • Julian Coda-Forno, Kristin Witte, Akshay K. Jagadish, Marcel Binz, Zeynep Akata, Eric Schulz
We focus on the Generative Pre-Trained Transformer 3. 5 and subject it to tasks commonly studied in psychiatry.
1 code implementation • 12 Apr 2023 • Marcel Binz, Ishita Dasgupta, Akshay Jagadish, Matthew Botvinick, Jane X. Wang, Eric Schulz
Meta-learning is a framework for learning learning algorithms through repeated interactions with an environment as opposed to designing them by hand.
no code implementations • 29 Sep 2022 • Tankred Saanum, Eric Schulz
We argue that two principles can help bridge this gap: latent learning and parsimonious dynamics.
Model-based Reinforcement Learning reinforcement-learning +1
1 code implementation • 25 Sep 2022 • Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz
We find that the model's learning trajectory captures the developmental trajectories of children, thereby providing support to the idea of development as stochastic optimization.
no code implementations • 21 Jun 2022 • Marcel Binz, Eric Schulz
We study GPT-3, a recent large language model, using tools from cognitive psychology.
1 code implementation • 27 Jan 2022 • Marcel Binz, Eric Schulz
Equipping artificial agents with useful exploration mechanisms remains a challenge to this day.
no code implementations • 29 Sep 2021 • Shuchen Wu, Noemi Elteto, Ishita Dasgupta, Eric Schulz
As learning progresses, a hierarchy of chunk representation is acquired by chunking previously learned representations into more complex representations guided by sequential dependence.
no code implementations • NeurIPS 2016 • Eric Schulz, Josh Tenenbaum, David K. Duvenaud, Maarten Speekenbrink, Samuel J. Gershman
How do people learn about complex functional structure?
no code implementations • 2 Feb 2016 • Eric Schulz, Quentin J. M. Huys, Dominik R. Bach, Maarten Speekenbrink, Andreas Krause
Exploration-exploitation of functions, that is learning and optimizing a mapping between inputs and expected outputs, is ubiquitous to many real world situations.