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Leonidas Zotos

2 accepted papers

2026

EAGer: Entropy-Aware GEneRation for Adaptive Inference-Time Scaling

ICML 2026poster

With the rise of reasoning language models and test-time scaling methods as a paradigm for improving model performance, substantial computation is often required to generate multiple candidate sequences from the same prompt. This enables exploration of different reasoning paths toward the correct so…

Cited by 0SourceScholar
2025

Can Model Uncertainty Function as a Proxy for Multiple-Choice Question Item Difficulty?

COLING 2025main

Estimating the difficulty of multiple-choice questions would be great help for educators who must spend substantial time creating and piloting stimuli for their tests, and for learners who want to practice. Supervised approaches to difficulty estimation have yielded to date mixed results. In this co…