Jillian Ross — 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…

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2026

OpenEstimate: Evaluating LLMs on Probabilistic Estimation with Real-World Data

Alana Marzoev, Jacob Andreas, Jillian Ross

ICLR 2026poster

Real-world settings where language models (LMs) are deployed---in domains spanning healthcare, finance, and other forms of knowledge work—require models to grapple with incomplete information and reason under uncertainty. Yet most LM evaluations focus on problems with well-defined answers and succes…

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