mlsanityData to 14 Oct 2026

Exploring Controllable Text Generation Techniques

arXiv 2005.01822 ↗First posted 4 May 2020cs.CLcited by 55

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Abstract (arXiv)

Neural controllable text generation is an important area gaining attention due to its plethora of applications. Although there is a large body of prior work in controllable text generation, there is no unifying theme. In this work, we provide a new schema of the pipeline of the generation process by classifying it into five modules. The control of attributes in the generation process requires modification of these modules. We present an overview of different techniques used to perform the modulation of these modules. We also provide an analysis on the advantages and disadvantages of these techniques. We further pave ways to develop new architectures based on the combination of the modules described in this paper.

Key facts. Cited by 55 papers in the map (data through 14 Oct 2026). First posted on arXiv 4 May 2020.

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Citing papers per year: 2021: 8; 2022: 15; 2023: 17; 2024: 10; 2025: 2; 2026: 3.

55 papers.

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  1. 2021DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Expertscited by 441
  2. 2022A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Modelscited by 129
  3. 2022Mix and Match: Learning-free Controllable Text Generation using Energy Language Modelscited by 66
  4. 2024Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidancecited by 46
  5. 2022DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptationcited by 37
  6. 2022Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Expertscited by 36
  7. 2024Improving Uncertainty Estimation through Semantically Diverse Language Generationcited by 35
  8. 2024IBSEN: Director-Actor Agent Collaboration for Controllable and Interactive Drama Script Generationcited by 35
  9. 2022Validating Large Language Models with ReLMcited by 33
  10. 2022PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generationcited by 30
  11. 2022CounterGeDi: A controllable approach to generate polite, detoxified and emotional counterspeechcited by 29
  12. 2021Attribute Alignment: Controlling Text Generation from Pre-trained Language Modelscited by 27
38 more
  1. 2021Math Word Problem Generation with Mathematical Consistency and Problem Context Constraintscited by 27
  2. 2021Focused Attention Improves Document-Grounded Generationcited by 24
  3. 2022Controllable Data Generation by Deep Learning: A Reviewcited by 20
  4. 2023Controllable Text Summarization: Unraveling Challenges, Approaches, and Prospects -- A Surveycited by 18
  5. 2023Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generationcited by 14
  6. 2023Controlling Pre-trained Language Models for Grade-Specific Text Simplificationcited by 14
  7. 2021DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generationcited by 11
  8. 2023Synthetically generated text for supervised text analysiscited by 10
  9. 2023An Invariant Learning Characterization of Controlled Text Generationcited by 9
  10. 2023Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformerscited by 9
  11. 2024ReFF: Reinforcing Format Faithfulness in Language Models across Varied Taskscited by 9
  12. 2026Weak-to-Strong On-Policy Distillationcited by 8
  13. 2023CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generationcited by 7
  14. 2023Advancements in Scientific Controllable Text Generation Methodscited by 7
  15. 2023Toward Unified Controllable Text Generation via Regular Expression Instructioncited by 7
  16. 2023A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generationcited by 6
  17. 2021Zero-Shot Controlled Generation with Encoder-Decoder Transformerscited by 5
  18. 2021From Theories on Styles to their Transfer in Text: Bridging the Gap with a Hierarchical Surveycited by 5
  19. 2024Text Style Transfer: An Introductory Overviewcited by 5
  20. 2021Controlled Cue Generation for Play Scriptscited by 4
  21. 2022Towards Attribute-Entangled Controllable Text Generation: A Pilot Study of Blessing Generationcited by 4
  22. 2022(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplificationcited by 4
  23. 2023SmartPhone: Exploring Keyword Mnemonic with Auto-generated Verbal and Visual Cuescited by 4
  24. 2024A Data-Driven Guided Decoding Mechanism for Diagnostic Captioningcited by 4
  25. 2023Text-Only Training for Visual Storytellingcited by 3
  26. 2024Language Model Sentence Completion with a Parser-Driven Rhetorical Control Methodcited by 3
  27. 2022Lexical Complexity Controlled Sentence Generationcited by 2
  28. 2023Successor Features for Efficient Multisubject Controlled Text Generationcited by 2
  29. 2022Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generationcited by 1
  30. 2022A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deceptioncited by 1
  31. 2023Controllable Multi-document Summarization: Coverage & Coherence Intuitive Policy with Large Language Model Based Rewardscited by 1
  32. 2023Causal ATE Mitigates Unintended Bias in Controlled Text Generationcited by 1
  33. 2024MapExplorer: New Content Generation from Low-Dimensional Visualizationscited by 1
  34. 2025TaleFrame: An Interactive Story Generation System with Fine-Grained Control and Large Language Modelscited by 1
  35. 2022Collocation2Text: Controllable Text Generation from Guide Phrases in Russiancited by 0
  36. 2022TegFormer: Topic-to-Essay Generation with Good Topic Coverage and High Text Coherencecited by 0
  37. 2023ReMask: A Robust Information-Masking Approach for Domain Counterfactual Generationcited by 0
  38. 2023Style Locality for Controllable Generation with kNN Language Modelscited by 0

50 most cited of 55 All 55 (JSON)