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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 1–50 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
Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process PriorsCode1
Quality Controlled Paraphrase GenerationCode1
Hierarchical Sketch Induction for Paraphrase GenerationCode1
On the Evaluation Metrics for Paraphrase GenerationCode1
AESOP: Paraphrase Generation with Adaptive Syntactic ControlCode1
Aspect Sentiment Quad Prediction as Paraphrase GenerationCode1
Language Invariant Properties in Natural Language ProcessingCode1
Towards Document-Level Paraphrase Generation with Sentence Rewriting and ReorderingCode1
Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus ExplorationCode1
Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation ApproachCode1
Contrastive Representation Learning for Exemplar-Guided Paraphrase GenerationCode1
Neural semi-Markov CRF for Monolingual Word AlignmentCode1
Factorising Meaning and Form for Intent-Preserving ParaphrasingCode1
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel PairsCode1
ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase GenerationCode1
Latent Template Induction with Gumbel-CRFsCode1
Reformulating Unsupervised Style Transfer as Paraphrase GenerationCode1
iNLTK: Natural Language Toolkit for Indic LanguagesCode1
Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic DiversityCode1
Simultaneous Translation and Paraphrase for Language EducationCode1
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
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
ParaFusion: A Large-Scale LLM-Driven English Paraphrase Dataset Infused with High-Quality Lexical and Syntactic Diversity—0
Improved Paraphrase Generation via Controllable Latent DiffusionCode0
SLPL SHROOM at SemEval2024 Task 06: A comprehensive study on models ability to detect hallucinationCode0
SemEval-2024 Shared Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes—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