{"url":"/method/ernie-gen","slug":"ernie-gen","name":"ERNIE-GEN","full_name":"ERNIE-GEN","full_name_withheld":false,"description_markdown":"**ERNIE-GEN** is a multi-flow sequence to sequence pre-training and fine-tuning framework which bridges the discrepancy between training and inference with an infilling generation mechanism and a noise-aware generation method. To make generation closer to human writing patterns, this framework introduces a span-by-span generation flow that trains the model to predict semantically-complete spans consecutively rather than predicting word by word. Unlike existing pre-training methods, ERNIE-GEN incorporates multi-granularity target sampling to construct pre-training data, which enhances the correlation between encoder and decoder.","description_state":"present","introduced_year":null,"introduced_by":{"title":"ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation","paper":"/paper/ernie-gen-an-enhanced-multi-flow-pre-training","first_author":"Dongling Xiao","n_authors":7,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/ernie-gen-an-enhanced-multi-flow-pre-training"},"source":{"url":"https://arxiv.org/abs/2001.11314v3","title":"ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"General","area_id":"general","collection":"Fine-Tuning","url":"/methods/category/fine-tuning","pwc_aliases":[]},{"area":"Natural Language Processing","area_id":"natural-language-processing","collection":"Language Model Pre-Training","url":"/methods/category/language-model-pre-training","pwc_aliases":[]},{"area":"Natural Language Processing","area_id":"natural-language-processing","collection":"Language Models","url":"/methods/category/language-models","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/ernie-gen-an-enhanced-multi-flow-pre-training","title":"ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation","date":"2020-01-26","arxiv_id":"2001.11314","n_code_links":5,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/abstractive-text-summarization","name":"Abstractive Text Summarization","papers":1},{"task":"/task/decoder","name":"Decoder","papers":1},{"task":"/task/dialogue-generation","name":"Dialogue Generation","papers":1},{"task":"/task/generative-question-answering","name":"Generative Question Answering","papers":1},{"task":"/task/question-generation","name":"Question Generation","papers":1},{"task":"/task/question-generation","name":"Question-Generation","papers":1},{"task":"/task/text-generation","name":"Text Generation","papers":1},{"task":"/task/text-summarization","name":"Text Summarization","papers":1}],"tasks_shown":8,"n_tasks":8,"usage_by_year":[{"year":"2020","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/ernie-gen"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}