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 3601–3650 of 5335 papers

TitleStatusHype
Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation—0
ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation—0
Turing: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface—0
Summary Grounded Conversation Generation—0
An evaluation of template and ML-based generation of user-readable text from a knowledge graph—0
Detecting Bot-Generated Text by Characterizing Linguistic Accommodation in Human-Bot Interactions—0
Evaluating and Explaining Natural Language Generation with GenXCode0
On Randomized Classification Layers and Their Implications in Natural Language Generation—0
How Vision Affects Language: Comparing Masked Self-Attention in Uni-Modal and Multi-Modal Transformer—0
Deep Learning on Graphs for Natural Language Processing—0
Coherent and Concise Radiology Report Generation via Context Specific Image Representations and Orthogonal Sentence States—0
A Tutorial on Evaluation Metrics used in Natural Language Generation—0
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation—0
An Empirical Study of Generating Texts for Search Engine Advertising—0
Task Definition and Integration For Scientific-Document Writing SupportCode0
Text Generation from Discourse Representation Structures—0
Using Integrated Gradients and Constituency Parse Trees to explain Linguistic Acceptability learnt by BERT—0
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation—0
A Compression-Compilation Framework for On-mobile Real-time BERT Applications—0
Annotation Inconsistency and Entity Bias in MultiWOZ—0
Grammar Accuracy Evaluation (GAE): Quantifiable Quantitative Evaluation of Machine Translation Models—0
Data Augmentation for Text Generation Without Any Augmented Data—0
Generative Adversarial Imitation Learning for Empathy-based AI—0
Argument Undermining: Counter-Argument Generation by Attacking Weak PremisesCode0
VANiLLa : Verbalized Answers in Natural Language at Large ScaleCode0
Killing One Bird with Two Stones: Model Extraction and Attribute Inference Attacks against BERT-based APIs—0
Controlling Text Edition by Changing Answers of Specific QuestionsCode0
Automated Knee X-ray Report Generation—0
Pretrained Language Models for Text Generation: A Survey—0
Towards a Universal NLG for Dialogue Systems and Simulators with Future Bridging—0
Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation—0
Stylized Story Generation with Style-Guided Planning—0
Doc2Dict: Information Extraction as Text GenerationCode0
A Study on Summarizing and Evaluating Long Documents—0
EASE: Extractive-Abstractive Summarization with Explanations—0
R2D2: Relational Text Decoding with Transformers—0
Knowledge-based Review Generation by Coherence Enhanced Text Planning—0
Diversifying Neural Text Generation with Part-of-Speech Guided Softmax and SamplingCode0
Generalising Multilingual Concept-to-Text NLG with Language Agnostic Delexicalisation—0
SGG: Learning to Select, Guide, and Generate for Keyphrase GenerationCode0
Translation Quality Assessment: A Brief Survey on Manual and Automatic MethodsCode0
Unsupervised Document Expansion for Information Retrieval with Stochastic Text GenerationCode0
Text-to-Text Multi-view Learning for Passage Re-ranking—0
Text Generation with Deep Variational GAN—0
What Makes a Message Persuasive? Identifying Adaptations Towards Persuasiveness in Nine Exploratory Case Studies—0
On a Utilitarian Approach to Privacy Preserving Text Generation—0
Natural Language Generation Using Link Grammar for General Conversational IntelligenceCode0
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems—0
proScript: Partially Ordered Scripts Generation via Pre-trained Language Models—0
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code GenerationCode0
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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