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P. Pit

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Open access 2026

When Context Sensitivity Isn’t Enough: An Argument Against Likelihood-Based Probes for Evaluating LLM-Simulated Students

Evaluating language models as student simulators currently focuses on whether their dialogue looks realistic, yet it is unclear whether these models actually respond to the quality of teaching the way human students do. However, this has not deterred prior works from using a model’s uncertainty, measured as the log-lik...

Pagnarith Pit, Ekaterina Vylomova · 0 citations

MUDIDI: A Two-Stage Framework for Multilingual Dictionary Digitization with Language Models

MUDIDI, a two-stage framework for multi-lingual dictionary digitization, is introduced and it is shown that supplementing additional information, such as dictionary introduction, to the LLMs can improve the quality of the digitized dictionary.

D. Setiawan, Temuulen Khishigsuren, Milind Agarwal et al. · 0 citations

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