Papers by Kristýna Onderková

1 papers
Thesis Proposal: Intentional Inference for Insight Generation (2026.acl-srw)

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Challenge: Large language models excel at surface-level fluency but struggle with consistent logical inference beyond surface- level patterns.
Approach: They propose to shift focus from surface-level generation to assumption-aware deeper inferences . authors argue that underspecification leads to unintentional assumptions .
Outcome: The proposed model underspecification leads to unintentional assumptions, the authors argue . they also examine how to improve reasoning to enable deeper inferences, focusing on code generation and qualitative reasoning.

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