Charley M Wu

Full Professor, Cognitive Science, Technische Universität Darmstadt

Joined

September 2022

Names

Charley M Wu (Preferred)

Charley M. Wu

Emails

****@uni-tuebingen.de (Confirmed)

****@mpib-berlin.mpg.de (Confirmed)

****@tu-darmstadt.de (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Full Professor

Cognitive Science, Technische Universität Darmstadt (tu-darmstadt.de)

2025 – Present

Advisors, Relations & Conflicts

Coauthor

Eric Schulz

2016 – 2025

Postdoc Advisor

Samuel J. Gershman

2019 – 2020

PhD Advisor

Björn Meder

2016 – 2019

Expertise

psychology

Present

Cognitive science

Present

computational modeling

Present

Publications

Do LLMs Share Human-Like Biases? Causal Reasoning Under Prior Knowledge, Irrelevant Context, and Varying Compute Budgets
Hanna Dettki, Charley M Wu, Bob Rehder
- HCAIR 2026
- Readers: Everyone
Causal Process Models: Reframing Dynamic Causal Graph Discovery as a Reinforcement Learning Problem
Turan Orujlu, Christian Gumbsch, Martin V. Butz, Charley M Wu
- CLeaR 2026 Poster
- Readers: Everyone
Reframing attention as a reinforcement learning problem for causal discovery
Turan Orujlu, Christian Gumbsch, Martin V. Butz, Charley M Wu
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Do Large Language Models Reason Causally Like Us? Even Better?
Hanna Dettki, Brenden Lake, Charley M Wu
- Annual Conference of the Cognitive Science Society, 2025
- Readers: Everyone
Agent-centric learning: from external reward maximization to internal knowledge curation
Hanqi Zhou, Fryderyk Mantiuk, David G Nagy, Charley M Wu
- Finding the Frame (RLC 2025)
- Readers: Everyone
Analogy making as amortised model construction
David G Nagy, Tingke Shen, Hanqi Zhou, Charley M Wu, Peter Dayan
- Finding the Frame (RLC 2025)
- Readers: Everyone
Predictive, scalable and interpretable knowledge tracing on structured domains
Hanqi Zhou, Robert Bamler, Charley M Wu, Álvaro Tejero-Cantero
- ICLR 2024 spotlight
- Readers: Everyone

Charley M Wu

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Do LLMs Share Human-Like Biases? Causal Reasoning Under Prior Knowledge, Irrelevant Context, and Varying Compute Budgets

Causal Process Models: Reframing Dynamic Causal Graph Discovery as a Reinforcement Learning Problem

Reframing attention as a reinforcement learning problem for causal discovery

Do Large Language Models Reason Causally Like Us? Even Better?

Agent-centric learning: from external reward maximization to internal knowledge curation

Analogy making as amortised model construction

Predictive, scalable and interpretable knowledge tracing on structured domains

Co-Authors