Papers by Timur Ionov
SPY: Enhancing Privacy with Synthetic PII Detection Dataset (2025.naacl-srw)
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| Challenge: | Historically, Named Entity Recognition (NER) has been employed for PII detection, but PI I entities constitute a subset of NER entities. |
| Approach: | They propose to use Large Language Models to generate a synthetic dataset that emulates real-world PII scenarios and validate its quality. |
| Outcome: | The proposed dataset is validated and provides a benchmark for PII detection. |
DeepPavlov Strikes Back: A Toolkit for Improving LLM Reliability and Trustworthiness (2026.eacl-demo)
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| Challenge: | a new version of an open-source library for natural language processing (NLP) is released . the library is easy to use, flexible, and works with many languages. |
| Approach: | They introduce a new version of an open-source library for natural language processing (NLP) it supports both traditional NLP tasks and new tasks needed to enhance LLMs truthfulness and reliability. |
| Outcome: | The new version of DeepPavlov supports both traditional and new tasks . it is easy to use, flexible, and works with many languages . |
Call, Reward, Repeat: Advancing Dialog State Tracking with GRPO and Function Calling (2026.eacl-srw)
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| Challenge: | Recent advances in Large Language Models (LLMs) have notably enhanced task-oriented dialogue systems, particularly in Dialogue State Tracking (DST). |
| Approach: | They propose a group-relative policy optimization method that guides LLMs toward improved DST accuracy even under low-resource conditions. |
| Outcome: | The proposed method improves on established DST benchmarks while using significantly reduced out-of-domain training data. |