The paper presents ATGen, a unified open-source framework for active learning in text generation, with benchmarks showing smart example selection reduces annotation effort and LLM API costs.
DeepAL: Deep Active Learning in Python
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abstract
We present DeepAL, a Python library that implements several common strategies for active learning, with a particular emphasis on deep active learning. DeepAL provides a simple and unified framework based on PyTorch that allows users to easily load custom datasets, build custom data handlers, and design custom strategies without much modification of codes. DeepAL is open-source on Github and welcome any contribution.
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2025 1verdicts
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ATGen: A Framework for Active Text Generation
The paper presents ATGen, a unified open-source framework for active learning in text generation, with benchmarks showing smart example selection reduces annotation effort and LLM API costs.