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
SPSQL: Step-by-step Parsing Based Framework for Text-to-SQL Generation—0
SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models—0
Spurious Correlations in Reference-Free Evaluation of Text Generation—0
Squib: Effects of Cognitive Effort on the Resolution of Overspecified Descriptions—0
Stance-Driven Multimodal Controlled Statement Generation: New Dataset and Task—0
State Fourier Diffusion Language Model (SFDLM): A Scalable, Novel Iterative Approach to Language Modeling—0
State-of-the-Art Translation of Text-to-Gloss using mBART : A case study of Bangla—0
Statistical laws in linguistics—0
Statistical Natural Language Generation from Tabular Non-textual Data—0
Statistical NLG for Generating the Content and Form of Referring Expressions—0
Statistics-Based Lexical Choice for NLG from Quantitative Information—0
StAyaL | Multilingual Style Transfer—0
Stay on topic with Classifier-Free Guidance—0
Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation—0
Steganography Beyond Space-Time with Chain of Multimodal AI—0
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation—0
Stick to Facts: Towards Fidelity-oriented Product Description Generation—0
Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation—0
ReTAG: Reasoning Aware Table to Analytic Text Generation—0
Stochastic Code Generation—0
Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking—0
Stochastic Language Generation in Dialogue using Factored Language Models—0
Stochastic Natural Language Generation Using Dependency Information—0
Storyboarding of Recipes: Grounded Contextual Generation—0
Story Comprehension for Predicting What Happens Next—0
Storyfier: Exploring Vocabulary Learning Support with Text Generation Models—0
Story Generation from Sequence of Independent Short Descriptions—0
Strategies for Structuring Story Generation—0
Structural Embedding Projection for Contextual Large Language Model Inference—0
Structural Encoding and Pre-training Matter: Adapting BERT for Table-Based Fact Verification—0
Structural Latency Perturbation in Large Language Models Through Recursive State Induction—0
Structural Reformation of Large Language Model Neuron Encapsulation for Divergent Information Aggregation—0
Structure-Aware Pre-Training for Table-to-Text Generation—0
Structure Controllable Text Generation—0
Structured Convergence in Large Language Model Representations via Hierarchical Latent Space Folding—0
Structured Language Generation Model for Robust Structure Prediction—0
Structured Memory Mechanisms for Stable Context Representation in Large Language Models—0
Structured Prediction in NLP -- A survey—0
Structure-to-Text Generation with Self-Training, Acceptability Classifiers and Context-Conditioning for the GEM Shared Task—0
Studying the Semantic Context of two Dutch Causal Connectives—0
Style Control for Schema-Guided Natural Language Generation—0
Style Example-Guided Text Generation using Generative Adversarial Transformers—0
Style Extraction on Text Embeddings Using VAE and Parallel Dataset—0
Style Over Substance: Evaluation Biases for Large Language Models—0
Style transfer and classification in hebrew news items—0
Stylistically User-Specific Generation—0
Stylistic MR-to-Text Generation Using Pre-trained Language Models—0
Stylistic Transfer in Natural Language Generation Systems Using Recurrent Neural Networks—0
Stylistic Variation in Television Dialogue for Natural Language Generation—0
Stylized Data-to-Text Generation: A Case Study in the E-Commerce Domain—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