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 2851–2900 of 5335 papers

TitleStatusHype
Mix and Match: Learning-free Controllable Text Generation using Energy Language ModelsCode1
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal—0
Linearizing Transformer with Key-Value Memory—0
An Empirical Study on Learning and Improving the Search Objective for Unsupervised Paraphrasing—0
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and QuantizationCode1
Language modeling via stochastic processesCode1
Towards Explainable Evaluation Metrics for Natural Language GenerationCode1
Immersive Text Game and Personality Classification—0
Dependency-based Mixture Language ModelsCode1
Modeling Intensification for Sign Language Generation: A Computational ApproachCode1
Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators—0
GRS: Combining Generation and Revision in Unsupervised Sentence SimplificationCode0
PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation—0
DU-VLG: Unifying Vision-and-Language Generation via Dual Sequence-to-Sequence Pre-training—0
RoMe: A Robust Metric for Evaluating Natural Language GenerationCode1
TegTok: Augmenting Text Generation via Task-specific and Open-world KnowledgeCode0
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument ExtractionCode1
Do Language Models Plagiarize?Code1
Learning to Infer Belief Embedded Communication—0
Graph Pre-training for AMR Parsing and GenerationCode1
Pruned Graph Neural Network for Short Story Ordering—0
Chart-to-Text: A Large-Scale Benchmark for Chart SummarizationCode1
Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods—0
Compilable Neural Code Generation with Compiler Feedback—0
IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages—0
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models—0
Recent Advances in Neural Text Generation: A Task-Agnostic Survey—0
The Proof is in the Pudding: Using Automated Theorem Proving to Generate Cooking RecipesCode0
Deep Latent-Variable Models for Text Generation—0
Controlling the Focus of Pretrained Language Generation ModelsCode0
Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few ShotsCode0
Exploring and Adapting Chinese GPT to Pinyin Input MethodCode1
Data-to-text Generation with Variational Sequential PlanningCode1
Rethinking and Refining the Distinct MetricCode0
Controllable Natural Language Generation with Contrastive Prefixes—0
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language GenerationCode0
COLD Decoding: Energy-based Constrained Text Generation with Langevin DynamicsCode1
Interpreting Language Models with Contrastive ExplanationsCode1
Reward Modeling for Mitigating Toxicity in Transformer-based Language Models—0
CLSEG: Contrastive Learning of Story Ending GenerationCode0
XFBoost: Improving Text Generation with Controllable Decoders—0
C IS^2: A Simplified Commonsense Inference Evaluation for Story ProseCode0
ZeroGen: Efficient Zero-shot Learning via Dataset GenerationCode1
Personalized Prompt Learning for Explainable RecommendationCode1
Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge—0
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text—0
A Contrastive Framework for Neural Text GenerationCode2
A multi-task semi-supervised framework for Text2Graph & Graph2TextCode1
Including Facial Expressions in Contextual Embeddings for Sign Language Generation—0
Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingCode1
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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