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 3701–3750 of 5335 papers

TitleStatusHype
Automatically Generating Questions about Novel Metaphors in Literature—0
Automatically Generating Rhythmic Verse with Neural Networks—0
Automatically Ranked Russian Paraphrase Corpus for Text Generation—0
Automatic and Human-AI Interactive Text Generation—0
Automatic Answerability Evaluation for Question Generation—0
Automatic Arabic Dialect Identification Systems for Written Texts: A Survey—0
Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space—0
Automatic Conditional Generation of Personalized Social Media Short Texts—0
Automatic Construction of Evaluation Suites for Natural Language Generation Datasets—0
Automatic Corpus Extension for Data-driven Natural Language Generation—0
Automatic detection of cognitive impairment in elderly people using an entertainment chatbot with Natural Language Processing capabilities—0
Automatic Detection of Document Organizational Structure from Visual and Lexical Markers (D\'etection automatique de la structure organisationnelle de documents \`a partir de marqueurs visuels et lexicaux) [in French]—0
Automatic disambiguation of English puns—0
Automatic Document Sketching: Generating Drafts from Analogous Texts—0
Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning—0
Automatic Generation of Citation Texts in Scholarly Papers: A Pilot Study—0
Automatic Generation of Jokes in Hindi—0
Automatic Generation of Programming Exercises and Code Explanations using Large Language Models—0
Automatic Generation of Student Report Cards—0
Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study—0
Automatic Interpretation of the English Possessive—0
Automatic label generation for news comment clusters—0
Automatic Modification of Communication Style in Dialogue Management—0
Automatic News Generation and Fact-Checking System Based on Language Processing—0
Automatic Product Copywriting for E-Commerce—0
Learning to Rewrite Prompts for Personalized Text Generation—0
Automatic question generation based on sentence structure analysis using machine learning approach—0
Automatic Related Work Generation: A Meta Study—0
Automatic Reports from Spreadsheets: Data Analysis for the Rest of Us—0
Automatic Summarization of Russian Texts: Comparison of Extractive and Abstractive Methods—0
Automatic Text Generation by Learning from Literary Structures—0
Automatic Token and Turn Level Language Identification for Code-Switched Text Dialog: An Analysis Across Language Pairs and Corpora—0
Automatic Tripartite Classification of Intransitive Verbs—0
Automatic Tweet Generation From Traffic Incident Data—0
Automatic Voice Selection in Japanese based on Various Linguistic Information—0
Automating Direct Speech Variations in Stories and Games—0
Automating Text Naturalness Evaluation of NLG Systems—0
Automation and Optimisation of Humor Trait Generation in a Vocal Dialogue System—0
Auto-regressive Text Generation with Pre-Trained Language Models: An Empirical Study on Question-type Short Text Generation—0
AUTOSUMM: Automatic Model Creation for Text Summarization—0
Avoiding Overlap in Data Augmentation for AMR-to-Text Generation—0
A working, non-trivial, topically indifferent NLG System for 17 languages—0
AXCEL: Automated eXplainable Consistency Evaluation using LLMs—0
Backbone Augmented Training for Adaptations—0
Backtracking Improves Generation Safety—0
Back-Translation as Strategy to Tackle the Lack of Corpus in Natural Language Generation from Semantic Representations—0
Backward and Forward Language Modeling for Constrained Sentence Generation—0
BACO: A Background Knowledge- and Content-Based Framework for Citing Sentence Generation—0
Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation—0
BahaBa: A Route Generator System for Mobile Devices—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