Papers by Piotr Sankowski

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.
LLM generated responses to mitigate the impact of hate speech (2024.findings-emnlp)

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Challenge: a study aims to determine the effectiveness of large language models to counteract hate speech . it is the first real-life A/B test evaluating the effectiveness .
Approach: They conduct the first real-life A/B test assessing the effectiveness of LLM-generated counter-speech.
Outcome: The proposed system reduces user engagement by over 20%, the study shows . the proposed metric is based on a simple metric and is scalable to other platforms .

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