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
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
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language ModelsCode0
Multi-Attribute Linguistic Tuning for Controlled Paraphrase Generation—0
Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language ModelsCode0
Analyzing Persuasive Strategies in Meme Texts: A Fusion of Language Models with Paraphrase Enrichment—0
Action Controlled ParaphrasingCode0
Parameter Efficient Diverse Paraphrase Generation Using Sequence-Level Knowledge Distillation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HRQ-VAEBLEU27.9—Unverified