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 1–10 of 209 papers

TitleStatusHype
Paraphrase Types for Generation and DetectionCode1
Explicit Syntactic Guidance for Neural Text GenerationCode1
CoEdIT: Text Editing by Task-Specific Instruction TuningCode1
TESS: Text-to-Text Self-Conditioned Simplex DiffusionCode1
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defenseCode1
kNN-BOX: A Unified Framework for Nearest Neighbor GenerationCode1
How Large Language Models are Transforming Machine-Paraphrased PlagiarismCode1
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in RussianCode1
A large-scale computational study of content preservation measures for text style transfer and paraphrase generationCode1
Chinese Idiom ParaphrasingCode1
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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