Marcel Binz
10 papers · 2022–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π€ Dynamic Duo (10)
π
Triple Crown
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(6)
Core AI
(6)
Learning Types
(4)
Reinforcement Learning
(3)
Core Methods
(3)
Learning Paradigms Β· Artificial Intelligence
(3)
Methods
(3)
Deep Learning
(2)
Natural Language Processing
(2)
Resources & Methods
(2)
Interdisciplinary
(1)
Bayesian & Probabilistic
(1)
Cognitive Science
(1)
Learning Paradigms Β· Machine Learning
(1)
Keywords
large language model
(3)
cognitive modeling
(2)
representation learning
(2)
in-context learning
(2)
reinforcement learning
(2)
few-shot learning
(1)
temporal difference learning
(1)
stochastic optimization
(1)
chain-of-thought prompting
(1)
category learning
(1)
prompt learning
(1)
continuous control
(1)
belief updating
(1)
data compression
(1)
autoregressive model
(1)
human behavior
(1)
probabilistic reasoning
(1)
sparse autoencoder
(1)
transfer learning
(1)
information theory
(1)
Papers
Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models
ICLR 2025
CogBench: a large language model walks into a psychology lab
ICML 2024
Evaluating alignment between humans and neural network representations in image-based learning tasks
NeurIPS 2024
Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks
ICML 2024
In-Context Learning Agents Are Asymmetric Belief Updaters
ICML 2024
Turning large language models into cognitive models
ICLR 2024
Meta-in-context learning in large language models
NeurIPS 2023
Reinforcement Learning with Simple Sequence Priors
NeurIPS 2023
The Acquisition of Physical Knowledge in Generative Neural Networks
ICML 2023
Modeling Human Exploration Through Resource-Rational Reinforcement Learning
NeurIPS 2022