Papers by Anna Shamray

1 papers
An Evaluation of Classifiers for Mapping Generative LLM Responses to Answer Options of Multiple-choice Questionnaires (2026.eacl-srw)

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Challenge: Large language models are used to generate multiple-choice style questionnaires that were originally intended for humans in persona simulations.
Approach: They investigate the performance of smaller LLMs for mapping LLM outputs into the available answer options of multiple-choice questionnaires.
Outcome: The proposed model underperforms on three datasets with differing answer option complexity.

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