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 3801–3850 of 5335 papers

TitleStatusHype
The ApposCorpus: A new multilingual, multi-domain dataset for factual appositive generation—0
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles—0
Improving Variational Autoencoder for Text Modelling with Timestep-Wise RegularisationCode0
Towards Harnessing Natural Language Generation to Explain Black-box Models—0
CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question AnsweringCode0
How to Make Neural Natural Language Generation as Reliable as Templates in Task-Oriented Dialogue—0
F\^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax—0
Revisiting Representation Degeneration Problem in Language Modeling—0
De-Biased Court's View Generation with Causality—0
Vec2Sent: Probing Sentence Embeddings with Natural Language GenerationCode0
Learning to Generate Clinically Coherent Chest X-Ray ReportsCode0
Balancing via Generation for Multi-Class Text Classification Improvement—0
The Natural Language Pipeline, Neural Text Generation and Explainability—0
A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning—0
PALM: Pre-training an Autoencoding\&Autoregressive Language Model for Context-conditioned Generation—0
Adversarial Text Generation via Sequence Contrast Discrimination—0
The Amazing World of Neural Language Generation—0
Enhancing Content Planning for Table-to-Text Generation with Data Understanding and VerificationCode0
Towards Generating Effective Explanations of Logical Formulas: Challenges and Strategies—0
Service registration chatbot: collecting and comparing dialogues from AMT workers and service’s users—0
Gradient-guided Unsupervised Lexically Constrained Text Generation—0
Textual Data Augmentation for Efficient Active Learning on Tiny Datasets—0
Authorship Attribution for Neural Text Generation—0
Controllable Meaning Representation to Text Generation: Linearization and Data Augmentation Strategies—0
Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender Systems—0
Personalized Multimodal Feedback Generation in Education—0
Fusion Models for Improved Visual Captioning—0
Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale—0
Dutch Humor Detection by Generating Negative Examples—0
The LMU Munich System for the WMT 2020 Unsupervised Machine Translation Shared TaskCode0
Text Editing by Command—0
CaM-Gen:Causally-aware Metric-guided Text Generation—0
GO FIGURE: A Meta Evaluation of Factuality in Summarization—0
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints—0
Multilingual Speech Translation with Efficient Finetuning of Pretrained Models—0
Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus—0
AI-lead Court Debate Case Investigation—0
Better Distractions: Transformer-based Distractor Generation and Multiple Choice Question Filtering—0
End-to-End Differentiable GANs for Text Generation—0
Towards Automatic Online Hate Speech Intervention Generation using Pretrained Language Model—0
Incorporate Semantic Structures into Machine Translation Evaluation via UCCA—0
Neural-Driven Multi-criteria Tree Search for Paraphrase Generation—0
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models—0
Collaborative Training of GANs in Continuous and Discrete Spaces for Text Generation—0
Substance over Style: Document-Level Targeted Content TransferCode0
Learning Better Representation for Tables by Self-Supervised Tasks—0
Training Shallow Phrase Structure Parsers From Semantic Frames and Simple NLG—0
Diverse Keyphrase Generation with Neural Unlikelihood TrainingCode0
Explaining Creative Artifacts—0
Positioning yourself in the maze of Neural Text Generation: A Task-Agnostic Survey—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