Papers by Emilia Wiśnios

2 papers
Wait, that’s not an option: LLMs Robustness with Incorrect Multiple-Choice Options (2025.acl-long)

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Challenge: Using a framework that combines instruction-following with critical reasoning, we show that the ability of LLMs to override defaults when faced with invalid options is impaired by alignment techniques.
Approach: They propose a framework for evaluating LLMs’ capacity to balance instruction-following with critical reasoning when presented with multiple-choice questions containing no valid answers.
Outcome: The proposed framework improves models' ability to override defaults when faced with invalid options while minimizing the impact of model size and training techniques on the model.
Behind Closed Words: Creating and Investigating the forePLay Annotated Dataset for Polish Erotic Discourse (2025.acl-long)

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Challenge: specialized Polish language models are more effective at detecting harmful content than traditional methods.
Approach: They propose a Polish-language dataset for erotic content detection that captures ambiguity, violence, and socially unacceptable behaviors.
Outcome: The proposed dataset shows that specialized Polish language models achieve superior performance compared to multilingual alternatives, with transformer-based architectures showing particular strength in handling imbalanced categories.

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