Papers by Daniil Korbut
Evolutionary Search for Automated Design of Uncertainty Quantification Methods (2026.acl-srw)
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Mikhail Seleznyov, Daniil Korbut, Viktor Moskvoretskii, Oleg Somov, Alexander Panchenko, Elena Tutubalina
| Challenge: | Qualitative analysis reveals that different LLMs employ qualitatively distinct evolutionary strategies for automating, interpretable hallucination detector design. |
| Approach: | They apply LLM-powered evolutionary search to discover unsupervised UQ methods represented as Python programs and apply them to atomic claim verification. |
| Outcome: | The proposed methods outperform strong manually-designed baselines while generalizing robustly out-of-distribution. |