Felix Jedidja Binder — accepted AI-conference papers

2025

Looking Inward: Language Models Can Learn About Themselves by Introspection

Felix Jedidja Binder, James Chua, Tomek Korbak, Henry Sleight, John Hughes, Robert Long +3

ICLR 2025poster

Humans acquire knowledge by observing the external world, but also by introspection. Introspection gives a person privileged access to their current state of mind (e.g. thoughts and feelings) that are not accessible to external observers. Do LLMs have this introspective capability of privileged acce…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗

2021

Physion: Evaluating Physical Prediction from Vision in Humans and Machines

Daniel Bear, Elias Wang, Damian Mrowca, Felix Jedidja Binder, Hsiao-Yu Tung, RT Pramod +9

NeurIPS 2021poster

While current vision algorithms excel at many challenging tasks, it is unclear how well they understand the physical dynamics of real-world environments. Here we introduce Physion, a dataset and benchmark for rigorously evaluating the ability to predict how physical scenarios will evolve over time.…

Cited by 82 Source ↗code ↗Scholar ↗