SOTAVerified

Text Generation

Text Generation is the task of generating text with the goal of appearing indistinguishable to human-written text. This task is more formally known as "natural language generation" in the literature.

Text generation can be addressed with Markov processes or deep generative models like LSTMs. Recently, some of the most advanced methods for text generation include BART, GPT and other GAN-based approaches. Text generation systems are evaluated either through human ratings or automatic evaluation metrics like METEOR, ROUGE, and BLEU.

Further readings:

( Image credit: Adversarial Ranking for Language Generation )

Papers

Showing 40514100 of 5335 papers

TitleStatusHype
Resurrecting Submodularity for Neural Text Generation0
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation0
Low-Level Linguistic Controls for Style Transfer and Content PreservationCode0
Ask to Learn: A Study on Curiosity-driven Question Generation0
A Good Sample is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation ModelsCode0
Not Enough Data? Deep Learning to the Rescue!0
REMI: Mining Intuitive Referring Expressions on Knowledge Bases0
A Holistic Natural Language Generation Framework for the Semantic Web0
Automatic Detection of Generated Text is Easiest when Humans are FooledCode1
Fine-Grained Control of Sentence Segmentation and Entity Positioning in Neural NLG0
PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules0
Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue0
A Topic Augmented Text Generation Model: Joint Learning of Semantics and Structural Features0
Kernelized Bayesian Softmax for Text GenerationCode0
Weird Inflects but OK: Making Sense of Morphological Generation Errors0
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation0
Set to Ordered Text: Generating Discharge Instructions from Medical Billing Codes0
Deep Copycat Networks for Text-to-Text GenerationCode0
Generating Natural Anagrams: Towards Language Generation Under Hard Combinatorial Constraints0
Enhancing Neural Data-To-Text Generation Models with External Background Knowledge0
Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation0
On the Unintended Social Bias of Training Language Generation Models with Data from Local Media0
Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training0
Controlling Sequence-to-Sequence Models - A Demonstration on Neural-based Acrostic Generator0
A Recurrent BERT-based Model for Question GenerationCode0
Hello, It's GPT-2 - How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems0
Back-Translation as Strategy to Tackle the Lack of Corpus in Natural Language Generation from Semantic Representations0
Natural Language Generation for Effective Knowledge DistillationCode0
Answering Naturally: Factoid to Full length Answer GenerationCode0
Enhanced Transformer Model for Data-to-Text Generation0
GEM: Generative Enhanced Model for adversarial attacks0
Improving Language Generation from Feature-Rich Tree-Structured Data with Relational Graph Convolutional Encoders0
Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning0
Can adversarial training learn image captioning ?Code0
Naver Labs Europe's Systems for the Document-Level Generation and Translation Task at WNGT 20190
An Augmented Transformer Architecture for Natural Language Generation Tasks0
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionCode1
Big Bidirectional Insertion Representations for Documents0
Training ASR models by Generation of Contextual Information0
ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation0
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation0
PLATO: Pre-trained Dialogue Generation Model with Discrete Latent VariableCode0
Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response Models0
Automatic Quality Estimation for Natural Language Generation: Ranting (Jointly Rating and Ranking)Code0
HuggingFace's Transformers: State-of-the-art Natural Language ProcessingCode1
Is Multilingual BERT Fluent in Language Generation?Code0
SMArT: Training Shallow Memory-aware Transformers for Robotic Explainability0
Learning from Fact-checkers: Analysis and Generation of Fact-checking LanguageCode0
Mapping Natural-language Problems to Formal-language Solutions Using Structured Neural RepresentationsCode0
Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1T5B BaselineBLEU48.74Unverified
2FactT5BBLEU48.37Unverified
3JointGT BaselineBLEU47.51Unverified
4FactJointGTBLEU47.39Unverified
5Control Prefixes (T5-large)METEOR0.41Unverified
6T5METEOR0.12Unverified
7BARTMETEOR0.11Unverified
#ModelMetricClaimedVerifiedStatus
1LeakGANBLEU-20.95Unverified
2partGANBLEU-20.91Unverified
3RankGANBLEU-20.85Unverified
4RelGAN (100)BLEU-20.85Unverified
5SeqGANBLEU-20.83Unverified
#ModelMetricClaimedVerifiedStatus
1LeakGANBLEU-20.96Unverified
2PPOGANBLEU-20.91Unverified
3RelGANBLEU-20.88Unverified
4SeqGANBLEU-20.86Unverified
5RankGANBLEU-20.78Unverified
#ModelMetricClaimedVerifiedStatus
1UniCRSDistinct-30.65Unverified
2CRFRDistinct-30.52Unverified
3KGSFDistinct-30.43Unverified
4C2CRSDistinct-30.33Unverified
5KBRDDistinct-30.3Unverified
#ModelMetricClaimedVerifiedStatus
1UniLMCIDEr14.92Unverified
2BART (TextBox 2.0)CIDEr12.98Unverified
3BARTMETEOR0.3Unverified
4T5METEOR0.29Unverified
#ModelMetricClaimedVerifiedStatus
1Beam search + A*esque (beam)BLEU-134.4Unverified
2Beam search + A*esque (sample)BLEU-134.4Unverified
3Beam search + A*esque (greedy)BLEU-134.3Unverified
4Beam searchBLEU-133.7Unverified
#ModelMetricClaimedVerifiedStatus
1RankGANBLEU-20.81Unverified
2SeqGANBLEU-20.74Unverified
3LeakGANBLEU-20.46Unverified
#ModelMetricClaimedVerifiedStatus
1TGen++METEOR0.17Unverified
2TGenMETEOR0.15Unverified
3TGen+METEOR0.15Unverified
#ModelMetricClaimedVerifiedStatus
1GPT2-124Meval_loss3.12Unverified
2GPT2-81M-LOOPeval_loss3.11Unverified
3GPT2-Hermiteeval_loss2.91Unverified
#ModelMetricClaimedVerifiedStatus
1LLaMA-65B+CFG (zero-shot)Accuracy96.6Unverified
2LLaMA-30B+CFG (zero-shot)Accuracy96.4Unverified
3LLaMA-13B+CFG (zero-shot)Accuracy95.1Unverified
#ModelMetricClaimedVerifiedStatus
1CNN-VAENLL332.1Unverified
2SA-VAENLL327.5Unverified
3Aggressive VAENLL326.7Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)BLEU-410.2Unverified
#ModelMetricClaimedVerifiedStatus
1STWGAN-GPBLEU-30.62Unverified
#ModelMetricClaimedVerifiedStatus
1PALMROUGE-L41.41Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)ROUGE-L64.34Unverified
#ModelMetricClaimedVerifiedStatus
1AEM+AttentionBLEU-114.17Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4ASR65.1Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)ROUGE-L42.96Unverified
#ModelMetricClaimedVerifiedStatus
1Graph2SeqBLEU22Unverified
#ModelMetricClaimedVerifiedStatus
1WGANGP + DGflowJS-40.19Unverified