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

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Showing 4151–4200 of 5335 papers

TitleStatusHype
CTRL: A Conditional Transformer Language Model for Controllable GenerationCode1
Select and Attend: Towards Controllable Content Selection in Text GenerationCode1
Counterfactual Story Reasoning and GenerationCode0
Out-of-domain Detection for Natural Language Understanding in Dialog SystemsCode1
Transfer Reward Learning for Policy Gradient-Based Text Generation—0
Conditional Text Generation for Harmonious Human-Machine Interaction—0
Story Realization: Expanding Plot Events into SentencesCode0
Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation—0
TransSent: Towards Generation of Structured Sentences with Discourse Marker—0
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover DistanceCode0
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time)Code0
Encode, Tag, Realize: High-Precision Text EditingCode0
Data-Driven Approach to Encoding and Decoding 3-D Crystal StructuresCode0
The Woman Worked as a Babysitter: On Biases in Language GenerationCode1
Sentence-Level Content Planning and Style Specification for Neural Text Generation—0
The Impact of Rule-Based Text Generation on the Quality of Abstractive Summaries—0
Personality-dependent Neural Text Summarization—0
Enhancing AMR-to-Text Generation with Dual Graph RepresentationsCode0
Modeling Graph Structure in Transformer for Better AMR-to-Text GenerationCode0
Generating Personalized Recipes from Historical User PreferencesCode0
Autoregressive Text Generation Beyond Feedback LoopsCode0
Implicit Deep Latent Variable Models for Text GenerationCode0
DeepCopy: Grounded Response Generation with Hierarchical Pointer Networks—0
Image Captioning with Sparse Recurrent Neural NetworkCode1
Measuring Patent Claim Generation by Span Relevancy—0
Transforming Delete, Retrieve, Generate Approach for Controlled Text Style TransferCode1
DGSAN: Discrete Generative Self-Adversarial NetworkCode0
Neural data-to-text generation: A comparison between pipeline and end-to-end architecturesCode0
Denoising based Sequence-to-Sequence Pre-training for Text Generation—0
Improving Neural Machine Translation with Pre-trained Representation—0
ARAML: A Stable Adversarial Training Framework for Text GenerationCode0
Automated email Generation for Targeted Attacks using Natural Language—0
Long and Diverse Text Generation with Planning-based Hierarchical Variational ModelCode0
Encoder-Agnostic Adaptation for Conditional Language GenerationCode0
Leveraging Sentence Similarity in Natural Language Generation: Improving Beam Search using Range Voting—0
Densely Connected Graph Convolutional Networks for Graph-to-Sequence LearningCode0
Towards Knowledge-Based Recommender Dialog SystemCode0
Neural Text Generation with Unlikelihood TrainingCode1
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text GenerationCode0
Flexibly-Structured Model for Task-Oriented DialoguesCode0
The Myths of Our Time: Fake NewsCode0
Guided Neural Language Generation for Automated Storytelling—0
A Hybrid Model for Globally Coherent Story Generation—0
Narrative Generation in the Wild: Methods from NaNoGenMoCode0
Creating a Corpus for Russian Data-to-Text Generation Using Neural Machine Translation and Post-EditingCode0
KB-NLG: From Knowledge Base to Natural Language Generation—0
Learning Question-Guided Video Representation for Multi-Turn Video Question Answering—0
On conducting better validation studies of automatic metrics in natural language generation evaluation—0
Representation Degeneration Problem in Training Natural Language Generation ModelsCode0
Automatic Generation of Personalized Comment Based on User ProfileCode0
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All datasetsDARTCOCO CaptionsEMNLP2017 WMTReDialCommonGenROCStoriesChinese PoemsCzech restaurant informationOpenWebTextSciQYahoo QuestionsADGEN

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1T5B BaselineBLEU48.74—Unverified
2FactT5BBLEU48.37—Unverified
3JointGT BaselineBLEU47.51—Unverified
4FactJointGTBLEU47.39—Unverified
5Control Prefixes (T5-large)METEOR0.41—Unverified
6T5METEOR0.12—Unverified
7BARTMETEOR0.11—Unverified
#ModelMetricClaimedVerifiedStatus
1LeakGANBLEU-20.95—Unverified
2partGANBLEU-20.91—Unverified
3RankGANBLEU-20.85—Unverified
4RelGAN (100)BLEU-20.85—Unverified
5SeqGANBLEU-20.83—Unverified
#ModelMetricClaimedVerifiedStatus
1LeakGANBLEU-20.96—Unverified
2PPOGANBLEU-20.91—Unverified
3RelGANBLEU-20.88—Unverified
4SeqGANBLEU-20.86—Unverified
5RankGANBLEU-20.78—Unverified
#ModelMetricClaimedVerifiedStatus
1UniCRSDistinct-30.65—Unverified
2CRFRDistinct-30.52—Unverified
3KGSFDistinct-30.43—Unverified
4C2CRSDistinct-30.33—Unverified
5KBRDDistinct-30.3—Unverified
#ModelMetricClaimedVerifiedStatus
1UniLMCIDEr14.92—Unverified
2BART (TextBox 2.0)CIDEr12.98—Unverified
3BARTMETEOR0.3—Unverified
4T5METEOR0.29—Unverified
#ModelMetricClaimedVerifiedStatus
1Beam search + A*esque (beam)BLEU-134.4—Unverified
2Beam search + A*esque (sample)BLEU-134.4—Unverified
3Beam search + A*esque (greedy)BLEU-134.3—Unverified
4Beam searchBLEU-133.7—Unverified
#ModelMetricClaimedVerifiedStatus
1RankGANBLEU-20.81—Unverified
2SeqGANBLEU-20.74—Unverified
3LeakGANBLEU-20.46—Unverified
#ModelMetricClaimedVerifiedStatus
1TGen++METEOR0.17—Unverified
2TGenMETEOR0.15—Unverified
3TGen+METEOR0.15—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT2-124Meval_loss3.12—Unverified
2GPT2-81M-LOOPeval_loss3.11—Unverified
3GPT2-Hermiteeval_loss2.91—Unverified
#ModelMetricClaimedVerifiedStatus
1LLaMA-65B+CFG (zero-shot)Accuracy96.6—Unverified
2LLaMA-30B+CFG (zero-shot)Accuracy96.4—Unverified
3LLaMA-13B+CFG (zero-shot)Accuracy95.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CNN-VAENLL332.1—Unverified
2SA-VAENLL327.5—Unverified
3Aggressive VAENLL326.7—Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)BLEU-410.2—Unverified
#ModelMetricClaimedVerifiedStatus
1STWGAN-GPBLEU-30.62—Unverified
#ModelMetricClaimedVerifiedStatus
1PALMROUGE-L41.41—Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)ROUGE-L64.34—Unverified
#ModelMetricClaimedVerifiedStatus
1AEM+AttentionBLEU-114.17—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4ASR65.1—Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)ROUGE-L42.96—Unverified
#ModelMetricClaimedVerifiedStatus
1Graph2SeqBLEU22—Unverified
#ModelMetricClaimedVerifiedStatus
1WGANGP + DGflowJS-40.19—Unverified