mlsanityData to 7 Oct 2026

GLEU Without Tuning

arXiv 1605.02592 ↗First posted 9 May 2016cs.CLcited by 24

Not on the map. Why?

Abstract (arXiv)

The GLEU metric was proposed for evaluating grammatical error corrections using n-gram overlap with a set of reference sentences, as opposed to precision/recall of specific annotated errors (Napoles et al., 2015). This paper describes improvements made to the GLEU metric that address problems that arise when using an increasing number of reference sets. Unlike the originally presented metric, the modified metric does not require tuning. We recommend that this version be used instead of the original version.

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

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 1; 2023: 4; 2024: 3; 2025: 7; 2026: 5.

24 papers.

Sort:

  1. 2021Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Taskscited by 100
  2. 2023Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluationcited by 97
  3. 2022Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyondcited by 20
  4. 2023Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generationcited by 14
  5. 2024mEdIT: Multilingual Text Editing via Instruction Tuningcited by 13
  6. 2021Comparison of Grammatical Error Correction Using Back-Translation Modelscited by 9
  7. 2021CrowdSpeech and VoxDIY: Benchmark Datasets for Crowdsourced Audio Transcriptioncited by 9
  8. 2025Reference-free Evaluation Metrics for Text Generation: A Surveycited by 9
  9. 2025gec-metrics: A Unified Library for Grammatical Error Correction Evaluationcited by 9
  10. 2023Byte-Level Grammatical Error Correction Using Synthetic and Curated Corporacited by 7
  11. 2025Rethinking Evaluation Metrics for Grammatical Error Correction: Why Use a Different Evaluation Process than Human?cited by 7
  12. 2021Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflowcited by 4
12 more
  1. 2024Revisiting Meta-evaluation for Grammatical Error Correctioncited by 3
  2. 2025Introducing OmniGEC: A Silver Multilingual Dataset for Grammatical Error Correctioncited by 3
  3. 2023Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmentingcited by 2
  4. 2024Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correctioncited by 2
  5. 2026Multi-Dimensional Evaluation of LLMs for Grammatical Error Correctioncited by 1
  6. 2026Edit-level Majority Voting Mitigates Over-Correction in LLM-based Grammatical Error Correctioncited by 1
  7. 2025Time Is Effort: Estimating Human Post-Editing Time for Grammar Error Correction Tool Evaluationcited by 0
  8. 2025A Formal Framework for Fluency-based Multi-Reference Evaluation in Grammatical Error Correctioncited by 0
  9. 2025Minimal-Edit Instruction Tuning for Low-Resource Indic GECcited by 0
  10. 2026Grammatical Error Correction Evaluation by Optimally Transporting Edit Representationcited by 0
  11. 2026Refining Word-Based Grammatical Error Annotation for L2 Koreancited by 0
  12. 2026WrAFT: a Modularized Automated Writing Evaluation System for Argumentative Essayscited by 0