Papers by Fedor Splitt

2 papers
Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation (2026.acl-long)

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Challenge: Large language models excel at generating English counterfactuals but their effectiveness in generating multilingual counterfacts remains unclear.
Approach: They conduct automatic evaluations on both directly generated and derived counterfactuals in six languages and find that cross-lingual perturbations follow common strategic principles.
Outcome: The proposed models show that translation-based counterfactuals offer higher validity than their directly generated counterparts, but still fall short of matching the quality of the original English counterf actuals.
Multilingual Datasets for Custom Input Extraction and Explanation Requests Parsing in Conversational XAI Systems (2025.findings-emnlp)

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Challenge: Current ConvXAI systems are based on intent recognition to accurately identify the user’s desired intention and map it to an explainability method.
Approach: They propose a multilingual extension of the CoXQL dataset spanning five typologically diverse languages, including one low-resource language.
Outcome: The proposed model enables multilingual generalization in a multilingual dataset spanning five typologically diverse languages, including one low-resource language.

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