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Text Generation

4534 directly classified papers

Papers per year

Papers

Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation CVPR 2021
Informed Sampling for Diversity in Concept-to-Text NLG EMNLP 2021
Jointly Learning to Repair Code and Generate Commit Message EMNLP 2021
Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning EMNLP 2021
HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge EMNLP 2021
SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks EMNLP 2021
Generate & Rank: A Multi-task Framework for Math Word Problems EMNLP 2021
Finetuning Pretrained Transformers into Variational Autoencoders EMNLP 2021
Template Filling with Generative Transformers NAACL 2021
WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset NAACL 2021
SpreadsheetCoder: Formula Prediction from Semi-structured Context ICML 2021
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining ICML 2021
Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation ICML 2021
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation ICML 2021
Template-aware Attention Model for Earnings Call Report Generation EMNLP 2021
Dialogue Response Generation via Contrastive Latent Representation Learning EMNLP 2021
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers NIPS 2021
Computer-Aided Design as Language NIPS 2021
BARTScore: Evaluating Generated Text as Text Generation NIPS 2021
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification ICML 2021
Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation NAACL 2021
EL-Attention: Memory Efficient Lossless Attention for Generation ICML 2021
Pretrained Language Model for Text Generation: A Survey IJCAI 2021
Plug-and-Blend: A Framework for Controllable Story Generation with Blended Control Codes NAACL 2021
Ask what’s missing and what’s useful: Improving Clarification Question Generation using Global Knowledge NAACL 2021