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 101–110 of 209 papers

TitleStatusHype
Sampling from Discrete Energy-Based Models with Quality/Efficiency Trade-offs—0
Semantic Neighborhoods as Hypergraphs—0
SemEval-2024 Shared Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes—0
Sentential Paraphrase Generation for Agglutinative Languages Using SVM with a String Kernel—0
SHCT: A Successively Hierarchical Conditional Transformer for Controllable Paraphrase Generation—0
Simulated annealing for optimization of graphs and sequences—0
SPMoE: Generate Multiple Pattern-Aware Outputs with Sparse Pattern Mixture of Experts—0
String Re-writing Kernel—0
Supervised Sentence Fusion with Single-Stage Inference—0
TD-ConE: An Information-Theoretic Approach to Assessing Parallel Text Generation Data—0
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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