Paraphrase Generation
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Benchmarks
Most implemented
Paraphrase Types for Generation and Detection
How Large Language Models are Transforming Machine-Paraphrased Plagiarism
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness
TESS: Text-to-Text Self-Conditioned Simplex Diffusion
Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration
Reformulating Unsupervised Style Transfer as Paraphrase Generation
Papers
Risk-Constrained Freshness-Aware Semantic Caching for Open-Web Retrieval-Augmented LLMs
Semantic caching reduces the latency and cost of retrieval-augmented generation (RAG) by serving cached answers to semantically similar queries, but most existing methods do not model the time-varying freshness of open-w…
Paraphrase GenerationLanguage Modeling and Understanding Through Paraphrase Generation and Detection
Language enables humans to share knowledge, reason about the world, and pass on strategies for survival and innovation across generations. At the heart of this process is not just the ability to communicate but also the …
Paraphrase GenerationSemPA: Improving Sentence Embeddings of Large Language Models through Semantic Preference Alignment
Traditional sentence embedding methods employ token-level contrastive learning on non-generative pre-trained models. Recently, there have emerged embedding methods based on generative large language models (LLMs). These …
Semantic Textual SimilarityParaphrase GenerationContrastive LearningSMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation
This article introduces semantically meaningful causal language modeling (SMCLM), a selfsupervised method of training autoregressive models to generate semantically equivalent text. Our approach involves using semantical…
Paraphrase GenerationEnhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked Data
Paraphrasing re-expresses meaning to enhance applications like text simplification, machine translation, and question-answering. Specific paraphrase types facilitate accurate semantic analysis and robust language models.…
Machine TranslationParaphrase GenerationParaphrase IdentificationQuestion Answering+2A Large-Scale Benchmark for Vietnamese Sentence Paraphrases
This paper presents ViSP, a high-quality Vietnamese dataset for sentence paraphrasing, consisting of 1.2M original-paraphrase pairs collected from various domains. The dataset was constructed using a hybrid approach that…
Paraphrase GenerationSentence