Papers by Grigorev Rostislav

1 papers
ATGen: A Framework for Active Text Generation (2025.acl-demo)

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Challenge: Despite the surging popularity of natural language generation tasks, the application of active learning (AL) to NLG has been limited.
Approach: They propose a framework that bridges AL with text generation tasks and provides a unified platform for smooth implementation and benchmarking of novel AL strategies tailored to NLG tasks.
Outcome: The proposed framework simplifies AL-empowered annotation in NLG tasks using both human annotators and automatic annotation agents based on large language models (LLMs).

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