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 151–160 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
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All datasetsParalexQuora Question PairsMSCOCO

Benchmark Results

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