mlsanityData to 14 Oct 2026

TextBox: A Unified, Modularized, and Extensible Framework for Text Generation

arXiv 2101.02046 ↗First posted 6 Jan 2021cs.AIcited by 15

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Abstract (arXiv)

In this paper, we release an open-source library, called TextBox, to provide a unified, modularized, and extensible text generation framework. TextBox aims to support a broad set of text generation tasks and models. In our library, we implement 21 text generation models on 9 benchmark datasets, covering the categories of VAE, GAN, and pretrained language models. Meanwhile, our library maintains sufficient modularity and extensibility by properly decomposing the model architecture, inference, and learning process into highly reusable modules, which allows users to easily incorporate new models into our framework. The above features make TextBox specially suitable for researchers and practitioners to quickly reproduce baseline models and develop new models. TextBox is implemented based on PyTorch, and released under Apache License 2.0 at https://github.com/RUCAIBox/TextBox.

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). Builds on 36 of its 53 references that are in the map. First posted on arXiv 6 Jan 2021.

Builds on

36 of 53 references.

References · 36

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24 more
  1. 2015Generating Sentences from a Continuous Spacecited by 612
  2. 2018Texygen: A Benchmarking Platform for Text Generation Modelscited by 491
  3. 2016SeqGAN: Sequence Generative Adversarial Nets with Policy Gradientcited by 376
  4. 2016Deep Reinforcement Learning for Dialogue Generationcited by 288
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Cited by year

Citing papers per year: 2021: 3; 2022: 9; 2023: 1; 2024: 1; 2025: 1.

15 papers.

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  1. 2022Diffusion Models: A Comprehensive Survey of Methods and Applicationscited by 1,114
  2. 2022Pretrained Language Models for Text Generation: A Surveycited by 122
  3. 2021Pretrained Language Models for Text Generation: A Surveycited by 95
  4. 2022Generative Knowledge Graph Construction: A Reviewcited by 49
  5. 2021MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solverscited by 39
  6. 2021Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Modelscited by 29
  7. 2022Learning to Transfer Prompts for Text Generationcited by 22
  8. 2022MVP: Multi-task Supervised Pre-training for Natural Language Generationcited by 16
  9. 2022Context-Tuning: Learning Contextualized Prompts for Natural Language Generationcited by 12
  10. 2022ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generationcited by 10
  11. 2023Text-Blueprint: An Interactive Platform for Plan-based Conditional Generationcited by 9
  12. 2022ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Modelscited by 4
3 more
  1. 2025A survey of diversity quantification in natural language processing: The why, what, where and howcited by 4
  2. 2022TextBox 2.0: A Text Generation Library with Pre-trained Language Modelscited by 3
  3. 2024EduNLP: Towards a Unified and Modularized Library for Educational Resourcescited by 1