3 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 3 cited
Parameter Efficient Diverse Paraphrase Generation Using Sequence-Level Knowledge Distillation
Lasal Jayawardena, Prasan Yapa
Over the past year, the field of Natural Language Generation (NLG) has experienced an exponential surge, largely due to the introduction of Large Language Models (LLMs). These mode…
cs.CL2024★ 3 cited
ParaFusion: A Large-Scale LLM-Driven English Paraphrase Dataset Infused with High-Quality Lexical and Syntactic Diversity
Lasal Jayawardena, Prasan Yapa
Paraphrase generation is a pivotal task in natural language processing (NLP). Existing datasets in the domain lack syntactic and lexical diversity, resulting in paraphrases that cl…