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 3201–3250 of 5335 papers

TitleStatusHype
Improving Abstractive Summarization with Commonsense Knowledge—0
Humor Generation and Detection in Code-Mixed Hindi-English—0
On Reducing Repetition in Abstractive Summarization—0
Behavior of Modern Pre-trained Language Models Using the Example of Probing Tasks—0
Models and Tasks for Human-Centered Machine Translation—0
OptAGAN: Entropy-based finetuning on text VAE-GANCode0
WebQA: Multihop and Multimodal QACode1
Structured Prediction in NLP -- A survey—0
AraT5: Text-to-Text Transformers for Arabic Language GenerationCode1
Plan-then-Generate: Controlled Data-to-Text Generation via PlanningCode1
Task-Oriented Dialogue System as Natural Language GenerationCode1
On the Multilingual Capabilities of Very Large-Scale English Language ModelsCode0
DEGREE: A Data-Efficient Generation-Based Event Extraction ModelCode1
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language ModelsCode1
Few-Shot Table-to-Text Generation with Prototype MemoryCode1
Latent Tree Decomposition Parsers for AMR-to-Text Generation—0
Lingxi: A Diversity-aware Chinese Modern Poetry Generation System—0
Tree Decomposition Attention for AMR-to-Text Generation—0
Automatic Text Evaluation through the Lens of Wasserstein BarycentersCode1
Can the Transformer Be Used as a Drop-in Replacement for RNNs in Text-Generating GANs?—0
Using GAN-based models to sentimental analysis on imbalanced datasets in education domain—0
StackMix and Blot Augmentations for Handwritten Text RecognitionCode1
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and ClassificationCode1
Semantic-Based Self-Critical Training For Question GenerationCode1
Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive ContextsCode1
Using BERT Encoding and Sentence-Level Language Model for Sentence Ordering—0
Taming the Beast: Learning to Control Neural Conversational Models—0
CGEMs: A Metric Model for Automatic Code Generation using GPT-3—0
A Neural Conversation Generation Model via Equivalent Shared Memory InvestigationCode0
Group-based Distinctive Image Captioning with Memory Attention—0
FFA-IR: Towards an Explainable and Reliable Medical Report Generation BenchmarkCode1
GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation—0
Reusable Templates and Guides For Documenting Datasets and Models for Natural Language Processing and Generation: A Case Study of the HuggingFace and GEM Data and Model Cards—0
AutoChart: A Dataset for Chart-to-Text Generation Task—0
A Single Example Can Improve Zero-Shot Data Generation—0
SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation—0
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language GenerationCode1
The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation—0
MTG: A Benchmark Suite for Multilingual Text GenerationCode0
GQE-PRF: Generative Query Expansion with Pseudo-Relevance Feedback—0
The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models—0
Generating Diverse Descriptions from Semantic GraphsCode0
GAN Computers Generate Arts? A Survey on Visual Arts, Music, and Literary Text Generation using Generative Adversarial Network—0
IntenT5: Search Result Diversification using Causal Language Models—0
Language Model Evaluation in Open-ended Text Generation—0
Sentence Semantic Regression for Text Generation—0
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning—0
Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text—0
Controlled Text Generation as Continuous Optimization with Multiple ConstraintsCode1
Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space TranslationCode1
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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