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 3951–4000 of 5335 papers

TitleStatusHype
Human or Machine: Automating Human Likeliness Evaluation of NLG Texts—0
Some Theoretical Insights into Wasserstein GANs—0
Graph-Stega: Semantic Controllable Steganographic Text Generation Guided by Knowledge Graph—0
Informativity in Image Captions vs. Referring Expressions—0
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance—0
Design and Implementation of a Virtual 3D Educational Environment to improve Deaf Education—0
GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning—0
When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications—0
Givenness Hierarchy Theoretic Cognitive Status Filtering—0
Investigating Label Bias in Beam Search for Open-ended Text Generation—0
Towards Finite-State Morphology of Kurdish—0
Artificial Intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetryCode0
Rethinking and Improving Natural Language Generation with Layer-Wise Multi-View Decoding—0
A Text Reassembling Approach to Natural Language Generation—0
Reinforced Rewards Framework for Text Style Transfer—0
Generating Pertinent and Diversified Comments with Topic-aware Pointer-Generator Networks—0
Learning Implicit Text Generation via Feature Matching—0
Token Manipulation Generative Adversarial Network for Text GenerationCode0
Building A User-Centric and Content-Driven Socialbot—0
Shape of synth to come: Why we should use synthetic data for English surface realizationCode0
Russian Natural Language Generation: Creation of a Language Modelling Dataset and Evaluation with Modern Neural ArchitecturesCode0
Smart To-Do : Automatic Generation of To-Do Items from Emails—0
Distributional Discrepancy: A Metric for Unconditional Text GenerationCode0
Improving Adversarial Text Generation by Modeling the Distant Future—0
Reward Constrained Interactive Recommendation with Natural Language Feedback—0
Exploring Controllable Text Generation Techniques—0
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints—0
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence—0
Generalized Entropy Regularization or: There's Nothing Special about Label Smoothing—0
MucLex: A German Lexicon for Surface RealisationCode0
Comparative Study of Sentence Embeddings for Contextual Paraphrasing—0
Localising the Clinical Terminology SNOMED CT by Semi-automated Creation of a German Interface Vocabulary—0
Frame-Based Annotation of Multimodal Corpora: Tracking (A)Synchronies in Meaning Construction—0
A French Corpus for Semantic Similarity—0
Alignment Annotation for Clinic Visit Dialogue to Clinical Note Sentence Language Generation—0
Cross-modal Language Generation using Pivot Stabilization for Web-scale Language Coverage—0
Improving Neural Language Generation with Spectrum Control—0
Annotating Event Appearance for Japanese Chess Commentary Corpus—0
Bringing Roguelikes to Visually-Impaired Players by Using NLP—0
A Parallel WordNet for English, Swedish and Bulgarian—0
ThemePro: A Toolkit for the Analysis of Thematic Progression—0
Best Student Forcing: A Simple Training Mechanism in Adversarial Language Generation—0
Data-dependent Gaussian Prior Objective for Language Generation—0
Improved Natural Language Generation via Loss Truncation—0
Context based Text-generation using LSTM networks—0
Template Guided Text Generation for Task-Oriented Dialogue—0
Boosting Naturalness of Language in Task-oriented Dialogues via Adversarial Training—0
APo-VAE: Text Generation in Hyperbolic Space—0
Preventing Posterior Collapse with Levenshtein Variational Autoencoder—0
Informed Sampling for Diversity in Concept-to-Text NLG—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