Ielanskyi, Mykyta

9 publications

ICLR 2026 Addressing Pitfalls in the Evaluation of Uncertainty Estimation Methods for Natural Language Generation Mykyta Ielanskyi, Kajetan Schweighofer, Lukas Aichberger, Sepp Hochreiter

ICLR 2026 MolecularIQ: Characterizing Chemical Reasoning Capabilities Through Symbolic Verification on Molecular Graphs Christoph Bartmann, Johannes Schimunek, Mykyta Ielanskyi, Philipp Seidl, Günter Klambauer, Sohvi Luukkonen

ICLRW 2025 Addressing Pitfalls in the Evaluation of Uncertainty Estimation Methods for Natural Language Generation Mykyta Ielanskyi, Kajetan Schweighofer, Lukas Aichberger, Sepp Hochreiter

ICLR 2025 Improving Uncertainty Estimation Through Semantically Diverse Language Generation Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi, Sepp Hochreiter

UAI 2025 On Information-Theoretic Measures of Predictive Uncertainty Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Sepp Hochreiter

ICLRW 2024 How Many Opinions Does Your LLM Have? Improving Uncertainty Estimation in NLG Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi, Sepp Hochreiter

NeurIPSW 2023 Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Sepp Hochreiter

NeurIPSW 2023 Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Sepp Hochreiter

NeurIPS 2023 Quantification of Uncertainty with Adversarial Models Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Günter Klambauer, Sepp Hochreiter