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 31–40 of 209 papers

TitleStatusHype
Syntax-guided Controlled Generation of ParaphrasesCode1
Neural Syntactic Preordering for Controlled Paraphrase GenerationCode1
Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing SystemCode1
Paraphrase Generation with Latent Bag of WordsCode1
A Deep Generative Framework for Paraphrase GenerationCode1
Neural Paraphrase Generation with Stacked Residual LSTM NetworksCode1
Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked DataCode0
A Large-Scale Benchmark for Vietnamese Sentence ParaphrasesCode0
SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text GenerationCode0
Learning to Adapt to Low-Resource Paraphrase Generation—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