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Katsiaryna Mirylenka

2 accepted papers

2024

Adapting LLMs for Structured Natural Language API Integration

EMNLP 2024industry

API integration is crucial for enterprise systems, as it enables seamless interaction between applications within workflows. However, the diversity and complexity of the API landscape present significant challenges in combining API calls based on user intent.Existing methods rely on named entity rec…

Cited by 12SourcePDFScholar
2023

Reinforced Active Learning for Low-Resource, Domain-Specific, Multi-Label Text Classification

ACL 2023findings

Text classification datasets from specialised or technical domains are in high demand, especially in industrial applications. However, due to the high cost of annotation such datasets are usually expensive to create. While Active Learning (AL) can reduce the labeling cost, required AL strategies are…

Cited by 5SourcePDFScholar