Ifueko Igbinedion — accepted AI-conference papers

2026

Lost in Context: Discovering Context Anxiety in Large Language Models

Ifueko Igbinedion, Jillian Ross, Etienne Ricardez, Sertac Karaman, Eric So

ICML 2026poster

Conventional wisdom suggests that reasoning models fail when problems exceed their capabilities. However, we find that frontier reasoning models sometimes possess the necessary capabilities to solve problems but fail due to premature self-doubt -- a phenomenon informally known as context anxiety. We…

Cited by 0 Source ↗Scholar ↗

2024

Learning When to Ask for Help: Efficient Interactive Navigation via Implicit Uncertainty Estimation

Ifueko Igbinedion, Sertac Karaman

ICRA 2024poster

Robots operating alongside humans often encounter unfamiliar environments that make autonomous task completion challenging. Though improving models and increasing dataset size can enhance a robot’s performance in unseen environments, data collection and model refinement may be impractical in every e…

Cited by 1 Source ↗Scholar ↗