Papers by Oleg Somov

3 papers
PAUQ: Text-to-SQL in Russian (2022.findings-emnlp)

Copied to clipboard

Challenge: Semantic parsing is an important task that allows to democratize human-computer interaction.
Approach: They construct and complement a Russian text-to-SQL dataset by integrating a spider query with a RAT-SqL and BRIDGE database.
Outcome: The proposed datasets show that they perform well with monolingual training and improved accuracy in multilingual scenarios.
Evolutionary Search for Automated Design of Uncertainty Quantification Methods (2026.acl-srw)

Copied to clipboard

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.
When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs (2025.findings-emnlp)

Copied to clipboard

Challenge: Large Language Models (LLMs) are sensitive to subtle, non-semantic variations in prompt phrasing and formatting.
Approach: They propose to evaluate 4 methods for improving prompt robustness within a unified experimental framework.
Outcome: The proposed methods are compared to 8 models from Llama, Qwen and Gemma families and are generalized against multiple types of distribution shifts.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations