mlsanityData to 7 Oct 2026

Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge

arXiv 1608.03000 ↗First posted 9 Aug 2016cs.CL cs.AIcited by 24

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Abstract (arXiv)

This paper explores the task of translating natural language queries into regular expressions which embody their meaning. In contrast to prior work, the proposed neural model does not utilize domain-specific crafting, learning to translate directly from a parallel corpus. To fully explore the potential of neural models, we propose a methodology for collecting a large corpus of regular expression, natural language pairs. Our resulting model achieves a performance gain of 19.6% over previous state-of-the-art models.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Aug 2016.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 4; 2023: 6; 2024: 2; 2025: 2; 2026: 6.

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  1. 2023Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Modelscited by 38
  2. 2025LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architecturescited by 35
  3. 2022Formal Specifications from Natural Languagecited by 33
  4. 2023FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Informationcited by 18
  5. 2021Multi-modal Program Inference: a Marriage of Pre-trainedLanguage Models and Component-based Synthesiscited by 12
  6. 2021GrASP: A Library for Extracting and Exploring Human-Interpretable Textual Patternscited by 6
  7. 2023Search-Based Regular Expression Inference on a GPUcited by 6
  8. 2026Semantic Tube Prediction: Beating LLM Data Efficiency with JEPAcited by 6
  9. 2023InfeRE: Step-by-Step Regex Generation via Chain of Inferencecited by 5
  10. 2023JaCoText: A Pretrained Model for Java Code-Text Generationcited by 4
  11. 2022A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspectivecited by 3
  12. 2024Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Orderingcited by 1
12 more
  1. 2025On Synthesis of Timed Regular Expressionscited by 1
  2. 2026DLLM-JEPA: Joint Embedding Predictive Architectures for Masked Diffusion Language Modelscited by 1
  3. 2021Regular Expressions for Fast-response COVID-19 Text Classificationcited by 0
  4. 2021Revelio: ML-Generated Debugging Queries for Distributed Systemscited by 0
  5. 2022Programming Language Agnostic Mining of Code and Language Pairs with Sequence Labeling Based Question Answeringcited by 0
  6. 2022Neuro-Symbolic Regex Synthesis Framework via Neural Example Splittingcited by 0
  7. 2023Correct and Optimal: the Regular Expression Inference Challengecited by 0
  8. 2024MedPromptExtract (Medical Data Extraction Tool): Anonymization and Hi-fidelity Automated data extraction using NLP and prompt engineeringcited by 0
  9. 2026RuleChef: Grounding LLM Task Knowledge in Human-Editable Rulescited by 0
  10. 2026The JEPA Paradox in Language: The Geometry of Linguistic Alternativescited by 0
  11. 2026Counterexamples as Feedback for Agent Self-Correctioncited by 0
  12. 2026ER-JEPA: Experience Replay Improves Joint-Embedding Predictive Learning in Language Modelscited by 0