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 3501–3550 of 5335 papers

TitleStatusHype
Tree Decomposition Attention for AMR-to-Text Generation—0
Latent Tree Decomposition Parsers for AMR-to-Text Generation—0
Lingxi: A Diversity-aware Chinese Modern Poetry Generation System—0
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
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
GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation—0
AutoChart: A Dataset for Chart-to-Text Generation Task—0
A Single Example Can Improve Zero-Shot Data 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
SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation—0
The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation—0
The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models—0
MTG: A Benchmark Suite for Multilingual Text GenerationCode0
GQE-PRF: Generative Query Expansion with Pseudo-Relevance Feedback—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
Underreporting of errors in NLG output, and what to do about it—0
Multilingual Speech Translation from Efficient Finetuning of Pretrained Models—0
Evaluation Guidelines to Deal with Implicit Phenomena to Assess Factuality in Data-to-Text Generation—0
``I've Seen Things You People Wouldn't Believe'': Hallucinating Entities in GuessWhat?!—0
Evaluating Text Generation from Discourse Representation StructuresCode0
CSECU-DSG at SemEval-2021 Task 1: Fusion of Transformer Models for Lexical Complexity Prediction—0
Self-Training for Compositional Neural NLG in Task-Oriented DialogueCode0
PRAL: A Tailored Pre-Training Model for Task-Oriented Dialog Generation—0
Single Example Can Improve Zero-Shot Data Generation—0
POS-Constrained Parallel Decoding for Non-autoregressive GenerationCode0
TGEA: An Error-Annotated Dataset and Benchmark Tasks for TextGeneration from Pretrained Language Models—0
Avoiding Overlap in Data Augmentation for AMR-to-Text Generation—0
BACO: A Background Knowledge- and Content-Based Framework for Citing Sentence Generation—0
Neural Methodius Revisited: Do Discourse Relations Help with Pre-Trained Models Too?Code0
KuiLeiXi: a Chinese Open-Ended Text Adventure Game—0
Text-in-Context: Token-Level Error Detection for Table-to-Text GenerationCode0
PIE: A Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing—0
Enhancing Language Generation with Effective Checkpoints of Pre-trained Language Model—0
Exploring Structural Encoding for Data-to-Text Generation—0
Generalized Supervised Attention for Text GenerationCode0
Employing Argumentation Knowledge Graphs for Neural Argument GenerationCode0
XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text GenerationCode0
De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation—0
All That's `Human' Is Not Gold: Evaluating Human Evaluation of Generated Text—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