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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 2601–2650 of 5335 papers

TitleStatusHype
Unified Knowledge Prompt Pre-training for Customer Service Dialogues—0
StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content EnhancingCode1
On Unsupervised Training of Link Grammar Based Language Models—0
Nearest Neighbor Non-autoregressive Text Generation—0
Few-Shot Table-to-Text Generation with Prefix-Controlled Generator—0
GenTUS: Simulating User Behaviour and Language in Task-oriented Dialogues with Generative Transformers—0
Z-Code++: A Pre-trained Language Model Optimized for Abstractive SummarizationCode4
Diverse Video Captioning by Adaptive Spatio-temporal AttentionCode0
Beyond Text Generation: Supporting Writers with Continuous Automatic Text Summaries—0
MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue GenerationCode0
Coherent Visual Storytelling via Parallel Top-Down Visual and Topic Attention—0
Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach—0
ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion—0
MENLI: Robust Evaluation Metrics from Natural Language InferenceCode1
Efficient Task-Oriented Dialogue Systems with Response Selection as an Auxiliary TaskCode1
Domain-Specific Text Generation for Machine TranslationCode1
A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception—0
High Recall Data-to-text Generation with Progressive Edit—0
Abstractive Meeting Summarization: A SurveyCode1
DeepGen: Diverse Search Ad Generation and Real-Time Customization—0
SMART: Sentences as Basic Units for Text Evaluation—0
Neural Knowledge Bank for Pretrained Transformers—0
Sequence to sequence pretraining for a less-resourced Slovenian languageCode0
LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text InjectionCode1
Innovations in Neural Data-to-text Generation: A Survey—0
Towards a Sentiment-Aware Conversational Agent—0
Leveraging Natural Supervision for Language Representation Learning and GenerationCode1
GenText: Unsupervised Artistic Text Generation via Decoupled Font and Texture Manipulation—0
Mimetic Models: Ethical Implications of AI that Acts Like You—0
Relational Future Captioning Model for Explaining Likely Collisions in Daily TasksCode0
Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model—0
Confident Adaptive Language Modeling—0
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text GenerationCode1
Towards Neural Numeric-To-Text Generation From Temporal Personal Health DataCode0
Jointly Harnessing Prior Structures and Temporal Consistency for Sign Language Video Generation—0
Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling—0
Putting the Con in Context: Identifying Deceptive Actors in the Game of Mafia—0
Can Language Models Make Fun? A Case Study in Chinese Comical CrosstalkCode1
Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic ConsistencyCode0
Retrieval Based Response Letter Generation For a Customer Care Setting—0
CULG: Commercial Universal Language Generation—0
Contrastive Data and Learning for Natural Language Processing—0
Learning Natural Language Generation with Truncated Reinforcement LearningCode0
Explaining Toxic Text via Knowledge Enhanced Text Generation—0
Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning—0
Don’t Take It Literally: An Edit-Invariant Sequence Loss for Text GenerationCode0
Don’t Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information—0
The Case for a Single Model that can Both Generate Continuations and Fill-in-the-Blank—0
RoViST: Learning Robust Metrics for Visual StorytellingCode0
Pathway2Text: Dataset and Method for Biomedical Pathway Description 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 (sample)BLEU-134.4—Unverified
2Beam search + A*esque (beam)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