SOTAVerified

Paraphrase Generation

Paraphrase Generation involves transforming a natural language sentence to a new sentence, that has the same semantic meaning but a different syntactic or lexical surface form.

Papers

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Showing 151–175 of 209 papers

TitleStatusHype
Neural Machine Translation For Paraphrase Generation—0
Neural Paraphrase Generation using Transfer Learning—0
Non-autoregressive Transformer by Position Learning—0
Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning—0
On-Demand Distributional Semantic Distance and Paraphrasing—0
Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement—0
ParaFusion: A Large-Scale LLM-Driven English Paraphrase Dataset Infused with High-Quality Lexical and Syntactic Diversity—0
Parameter Efficient Diverse Paraphrase Generation Using Sequence-Level Knowledge Distillation—0
ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations—0
Paraphrase Generation and Evaluation on Colloquial-Style Sentences—0
Paraphrase Generation as Unsupervised Machine Translation—0
Paraphrase Generation: A Survey of the State of the Art—0
Paraphrase Generation by Learning How to Edit from Samples—0
Paraphrase Generation for Semi-Supervised Learning in NLU—0
Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing—0
Paraphrase Generation via Adversarial Penalizations—0
Paraphrase Generation with Deep Reinforcement Learning—0
Paraphrasing Adaptation for Web Search Ranking—0
PNAT: Non-autoregressive Transformer by Position Learning—0
Polarity Classification of Short Product Reviews via Multiple Cluster-based SVM Classifiers—0
Power Norm Based Lifelong Learning for Paraphrase Generations—0
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language ModelsCode0
'John ate 5 apples' != 'John ate some apples': Self-Supervised Paraphrase Quality Detection for Algebraic Word ProblemsCode0
Visual Information Guided Zero-Shot Paraphrase GenerationCode0
Learning Semantic Sentence Embeddings using Sequential Pair-wise DiscriminatorCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HRQ-VAEiBLEU24.93—Unverified
2SeparatoriBLEU14.84—Unverified
#ModelMetricClaimedVerifiedStatus
1HRQ-VAEiBLEU18.42—Unverified
2SeparatoriBLEU5.84—Unverified
#ModelMetricClaimedVerifiedStatus
1HRQ-VAEBLEU27.9—Unverified