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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 3301–3350 of 5335 papers

TitleStatusHype
Spiral Language Modeling—0
AutoGraphex: Zero-shot Biomedical Definition Generation with Automatic Prompting—0
ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation—0
RoViST: Learning Robust Metrics for Visual Storytelling—0
Speeding Up Entmax—0
DSGPT: Domain-Specific Generative Pre-Training of Transformers for Text Generation in E-commerce Title and Review Summarization—0
Dynamic Human Evaluation for Relative Model ComparisonsCode0
Automatic Product Copywriting for E-Commerce—0
TopNet: Learning from Neural Topic Model to Generate Long Stories—0
GEO-BLEU: Similarity Measure for Geospatial Sequences—0
Tackling Query-Focused Summarization as A Knowledge-Intensive Task: A Pilot Study—0
Handwritten text generation and strikethrough characters augmentation—0
Reinforced Abstractive Summarization with Adaptive Length Controlling—0
Controlled Cue Generation for Play Scripts—0
Contextualized Scene Imagination for Generative Commonsense ReasoningCode0
Improving Logical-Level Natural Language Generation with Topic-Conditioned Data Augmentation and Logical Form Generation—0
Towards More Efficient Insertion Transformer with Fractional Positional EncodingCode0
Show, Write, and Retrieve: Entity-aware Article Generation and RetrievalCode0
Discourse-Aware Soft Prompting for Text Generation—0
Sampling from Discrete Energy-Based Models with Quality/Efficiency Trade-offs—0
VUT: Versatile UI Transformer for Multi-Modal Multi-Task User Interface Modeling—0
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation—0
Self-Supervised Image-to-Text and Text-to-Image SynthesisCode0
Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information NeedsCode0
Natural Answer Generation: From Factoid Answer to Full-length Answer using Grammar Correction—0
Search and Learn: Improving Semantic Coverage for Data-to-Text GenerationCode0
Protecting Intellectual Property of Language Generation APIs with Lexical WatermarkCode0
Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation—0
LOGEN: Few-shot Logical Knowledge-Conditioned Text Generation with Self-training—0
Exploration into Translation-Equivariant Image QuantizationCode0
Design and Development of Spoken Dialogue System in Indic Languages—0
Document Level Hierarchical Transformer—0
Stylistic MR-to-Text Generation Using Pre-trained Language Models—0
Multi-modal Dependency Tree for Video Captioning—0
Robustness Analysis of Grover for Machine-Generated News Detection—0
Cross-lingual Alignment of Knowledge Graph Triples with Sentences—0
An Efficient Keyframes Selection Based Framework for Video Captioning—0
Improvement in Machine Translation with Generative Adversarial Networks—0
Context Matters in Semantically Controlled Language Generation for Task-oriented Dialogue Systems—0
Realistic simulation of users for IT systems in cyber ranges—0
Reinforcement Learning for Few-Shot Text Generation AdaptationCode0
Triples-to-Text Generation with Reinforcement Learning Based Graph-augmented Neural Networks—0
How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN—0
MReD: A Meta-Review Dataset for Structure-Controllable Text Generation—0
Open Domain Question Answering over Virtual Documents: A Unified Approach for Data and Text—0
FLAP: Table-to-Text Generation with Feature Indication and Numerical Reasoning Pretraining—0
Improving Compositional Generalization with Self-Training for Data-to-Text Generation—0
Modeling Intensification for Signed Language Generation: A Computational Approach—0
Improving Controllable Text Generation with Position-Aware Weighted Decoding—0
IndicBART: A Pre-trained Model for Indic Natural Language Generation—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