Research output per year
Research output per year
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Addressing Pitfalls in the Evaluation of Uncertainty Estimation Methods for Natural Language Generation
Ielanskyi, M., Schweighofer, K., Aichberger, L. & Hochreiter, S., Jul 2025, (Accepted/In press) ICLR Workshop: Quantify Uncertainty and Hallucination in Foundation Models: The Next Frontier in Reliable AI.Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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Improving Uncertainty Estimation through Semantically Diverse Language Generation
Aichberger, L., Schweighofer, K., Ielanskyi, M. & Hochreiter, S., 26 Apr 2025, (Accepted/In press) International Conference On Learning Representations (ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty
Schweighofer, K., Aichberger, L., Ielanskyi, M. & Hochreiter, S., 2024, 13 p. (arXiv.org).Research output: Working paper and reports › Preprint
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On Information-Theoretic Measures of Predictive Uncertainty
Schweighofer, K., Aichberger, L., Ielanskyi, M. & Hochreiter, S., 14 Oct 2024, 39 p.Research output: Working paper and reports › Preprint
Open Access -
Rethinking Uncertainty Estimation in Natural Language Generation
Aichberger, L., Schweighofer, K. & Hochreiter, S., 2024, 19 p. (arXiv.org).Research output: Working paper and reports › Preprint