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 1151–1200 of 5335 papers

TitleStatusHype
Layer or Representation Space: What makes BERT-based Evaluation Metrics Robust?Code0
LCTG Bench: LLM Controlled Text Generation BenchmarkCode0
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language ReasoningCode0
Learning to Generate Compositional Color DescriptionsCode0
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text GenerationCode0
CiteBench: A benchmark for Scientific Citation Text GenerationCode0
Adaptive Classifier-Free Guidance via Dynamic Low-Confidence MaskingCode0
Assaying on the Robustness of Zero-Shot Machine-Generated Text DetectorsCode0
C IS^2: A Simplified Commonsense Inference Evaluation for Story ProseCode0
Large-Scale Transfer Learning for Natural Language GenerationCode0
A Hybrid Convolutional Variational Autoencoder for Text GenerationCode0
ASPIRO: Any-shot Structured Parsing-error-Induced ReprOmpting for Consistent Data-to-Text GenerationCode0
Large Scale Multi-Lingual Multi-Modal Summarization DatasetCode0
Large Language Models in Computer Science Education: A Systematic Literature ReviewCode0
CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question AnsweringCode0
Cheetah: Natural Language Generation for 517 African LanguagesCode0
Large Language Models Engineer Too Many Simple Features For Tabular DataCode0
Asking the Crowd: Question Analysis, Evaluation and Generation for Open Discussion on Online ForumsCode0
Large Language Models as Sous Chefs: Revising Recipes with GPT-3Code0
Educating Text Autoencoders: Latent Representation Guidance via DenoisingCode0
Language Model Sentence Completion with a Parser-Driven Rhetorical Control MethodCode0
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model RobustnessCode0
Language Generation with Recurrent Generative Adversarial Networks without Pre-trainingCode0
Language Models can Evaluate Themselves via Probability DiscrepancyCode0
A Hierarchical Model for Data-to-Text GenerationCode0
Language GANs Falling ShortCode0
Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo ApproachCode0
Language Detoxification with Attribute-Discriminative Latent SpaceCode0
CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation ModelsCode0
Likelihood-based Mitigation of Evaluation Bias in Large Language ModelsCode0
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from ServerCode0
ASEM: Enhancing Empathy in Chatbot through Attention-based Sentiment and Emotion ModelingCode0
A Semantic Relevance Based Neural Network for Text Summarization and Text SimplificationCode0
Adapting SimpleNLG to Galician languageCode0
Challenges in Measuring Bias via Open-Ended Language GenerationCode0
Challenges in Data-to-Document GenerationCode0
Chain-of-Verification Reduces Hallucination in Large Language ModelsCode0
Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and FilteringCode0
A Graph-to-Sequence Model for AMR-to-Text GenerationCode0
Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual StorytellingCode0
Lagging Inference Networks and Posterior Collapse in Variational AutoencodersCode0
CGMH: Constrained Sentence Generation by Metropolis-Hastings SamplingCode0
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text GenerationCode0
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text GenerationCode0
A Good Sample is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation ModelsCode0
A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text SystemsCode0
CEV-LM: Controlled Edit Vector Language Model for Shaping Natural Language GenerationsCode0
CEval: A Benchmark for Evaluating Counterfactual Text GenerationCode0
Artificial Interrogation for Attributing Language ModelsCode0
Kernelized Bayesian Softmax for Text 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