| Metric-Based In-context Learning: A Case Study in Text Simplification | ✓ Link | 43.46 | 79.83 | | 9.33 | | GPT-175B (6 SARI-selected examples, high/low) | 2023-07-27 |
| MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases | ✓ Link | 42.53 | 78.17 | | 7.60 | | MUSS (BART+ACCESS Supervised) | 2020-05-01 |
| Control Prefixes for Parameter-Efficient Text Generation | ✓ Link | 42.32 | | | 7.74 | 0.66 | Control Prefixes (BART) | 2021-10-15 |
| Text Simplification by Tagging | ✓ Link | 41.46 | | | | | TST | 2021-03-08 |
| Controllable Sentence Simplification | ✓ Link | 41.38 | 72.53 | | | | ACCESS | 2019-10-07 |
| MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases | ✓ Link | 40.85 | | | 8.79 | | MUSS (BART+ACCESS Unsupervised) | 2020-05-01 |
| Integrating Transformer and Paraphrase Rules for Sentence Simplification | ✓ Link | 40.45 | | | | | DMASS-DCSS | 2018-10-26 |
| Optimizing Statistical Machine Translation for Text Simplification | ✓ Link | 39.56 | 73.08* | | | | SBMT-SARI | 2016-01-01 |
| EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing | ✓ Link | 38.22 | 86.69 | | | | EditNTS | 2019-06-19 |
| Sentence Simplification by Monolingual Machine Translation | | 38.04 | | | | | PBMT-R | 2012-07-01 |
| Iterative Edit-Based Unsupervised Sentence Simplification | ✓ Link | 37.85 | 73.62 | | | | Edit-Unsup-TS | 2020-06-17 |
| Dynamic Multi-Level Multi-Task Learning for Sentence Simplification | | 37.45 | 81.49 | | | | Pointer + Multi-task Entailment and Paraphrase Generation | 2018-06-19 |
| Sentence Simplification with Deep Reinforcement Learning | ✓ Link | 37.27 | 80.12 | | | | Dress-LS | 2017-03-31 |
| Exploring Neural Text Simplification Models | ✓ Link | 37.25 | 80.69 | | | | NTS-SARI | 2017-07-01 |
| Unsupervised Neural Text Simplification | ✓ Link | 37.20 | 74.02 | | | | UNMT (Unsupervised) | 2018-10-18 |
| Unsupervised Neural Text Simplification | ✓ Link | 37.15 | | | | | UNTS-10k (Weakly supervised) | 2018-10-18 |
| Sentence Simplification with Deep Reinforcement Learning | ✓ Link | 37.08 | 77.18 | | | | Dress | 2017-03-31 |
| Sentence Simplification with Memory-Augmented Neural Networks | | 36.88 | 80.43 | | | | NSELSTM-S | 2018-04-20 |
| Simple and Effective Text Simplification Using Semantic and Neural Methods | | 36.70 | 74.49 | | | | SEMoses | 2018-10-11 |
| Unsupervised Neural Text Simplification | ✓ Link | 36.29 | | | | | UNTS (Unsupervised) | 2018-10-18 |
| Sentence Simplification with Memory-Augmented Neural Networks | | 33.43 | 92.02 | | | | NSELSTM-B | 2018-04-20 |
| The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics | | | | 0.649 | | | T5 | 2021-02-02 |
| The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics | | | | 0.556 | | | BART | 2021-02-02 |
| Hybrid Simplification using Deep Semantics and Machine Translation | | 31.40* | 48.97* | | | | Hybrid | 2014-06-01 |
| Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs | ✓ Link | 37.08* | | | | | SeqLabel | 2017-11-01 |