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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4201–4250 of 5335 papers

TitleStatusHype
Measuring Patent Claim Generation by Span Relevancy—0
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
Encoder-Agnostic Adaptation for Conditional Language GenerationCode0
Automated email Generation for Targeted Attacks using Natural Language—0
Long and Diverse Text Generation with Planning-based Hierarchical Variational ModelCode0
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
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
A Hybrid Model for Globally Coherent Story Generation—0
KB-NLG: From Knowledge Base to Natural Language Generation—0
Creating a Corpus for Russian Data-to-Text Generation Using Neural Machine Translation and Post-EditingCode0
Guided Neural Language Generation for Automated Storytelling—0
Narrative Generation in the Wild: Methods from NaNoGenMoCode0
On conducting better validation studies of automatic metrics in natural language generation evaluation—0
Learning Question-Guided Video Representation for Multi-Turn Video Question Answering—0
Representation Degeneration Problem in Training Natural Language Generation ModelsCode0
Automatic Generation of Personalized Comment Based on User ProfileCode0
Learning to Select, Track, and Generate for Data-to-TextCode0
ER-AE: Differentially Private Text Generation for Authorship AnonymizationCode0
WriterForcing: Generating more interesting story endingsCode0
Myers-Briggs Personality Classification and Personality-Specific Language Generation Using Pre-trained Language Models—0
Generating Sentences from Disentangled Syntactic and Semantic SpacesCode0
On the Weaknesses of Reinforcement Learning for Neural Machine Translation—0
Storyboarding of Recipes: Grounded Contextual Generation—0
Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization—0
A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation—0
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder—0
Asking the Crowd: Question Analysis, Evaluation and Generation for Open Discussion on Online ForumsCode0
Large-Scale Transfer Learning for Natural Language GenerationCode0
Natural Language Generation: Recently Learned Lessons, Directions for Semantic Representation-based Approaches, and the Case of Brazilian Portuguese Language—0
Learning to Control the Fine-grained Sentiment for Story Ending Generation—0
Adversarial Domain Adaptation Using Artificial Titles for Abstractive Title Generation—0
Generalized Tuning of Distributional Word Vectors for Monolingual and Cross-Lingual Lexical EntailmentCode0
Patent Claim Generation by Fine-Tuning OpenAI GPT-2—0
Pay Attention when you Pay the Bills. A Multilingual Corpus with Dependency-based and Semantic Annotation of Collocations.—0
Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study—0
Evaluating Computational Language Models with Scaling Properties of Natural Language—0
Dispersed Exponential Family Mixture VAEs for Interpretable Text GenerationCode0
Automatic Conditional Generation of Personalized Social Media Short Texts—0
Keeping Notes: Conditional Natural Language Generation with a Scratchpad MechanismCode0
Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine DecodingCode0
GLTR: Statistical Detection and Visualization of Generated TextCode0
Real or Fake? Learning to Discriminate Machine from Human Generated Text—0
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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