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 4901–4950 of 5335 papers

TitleStatusHype
Improving Text Generation Evaluation with Batch Centering and Tempered Word Mover Distance—0
Improving Text Generation on Images with Synthetic Captions—0
Improving Text Generation with Student-Forcing Optimal Transport—0
Improving the generation of personalised descriptions—0
Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning—0
Improving the Naturalness and Expressivity of Language Generation for Spanish—0
Improving the Reliability of Large Language Models by Leveraging Uncertainty-Aware In-Context Learning—0
Improving Word Translation Disambiguation by Capturing Multiword Expressions with Dictionaries—0
Improving Zero-Shot Multilingual Text Generation via Iterative Distillation—0
Including Facial Expressions in Contextual Embeddings for Sign Language Generation—0
Inclusivity in Large Language Models: Personality Traits and Gender Bias in Scientific Abstracts—0
In-Context Demonstration Selection with Cross Entropy Difference—0
Incorporate Semantic Structures into Machine Translation Evaluation via UCCA—0
Incorporating Background Knowledge into Video Description Generation—0
Incorporating Global Visual Features into Attention-based Neural Machine Translation.—0
Dependency Structure for News Document Summarization—0
Incorporating Side Information into Recurrent Neural Network Language Models—0
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions—0
Incremental Dialogue Management: Survey, Discussion, and Implications for HRI—0
Incremental Generation of Visually Grounded Language in Situated Dialogue (demonstration system)—0
Incremental Query Generation—0
IndicBART: A Pre-trained Model for Indic Natural Language Generation—0
IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages—0
IndiText Boost: Text Augmentation for Low Resource India Languages—0
Individual and Domain Adaptation in Sentence Planning for Dialogue—0
Individual Variation in the Choice of Referential Form—0
Inducing Clause-Combining Rules: A Case Study with the SPaRKy Restaurant Corpus—0
Inducing Document Plans for Concept-to-Text Generation—0
Inference acceleration for large language models using "stairs" assisted greedy generation—0
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning—0
What Makes the Story Forward? Inferring Commonsense Explanations as Prompts for Future Event Generation—0
Inferring Selectional Preferences from Part-Of-Speech N-grams—0
InFillmore: Frame-Guided Language Generation with Bidirectional Context—0
Inflection Generation for Spanish Verbs using Supervised Learning—0
Information Bottleneck Inspired Method For Chat Text Segmentation—0
IFDID: Information Filter upon Diversity-Improved Decoding for Diversity-Faithfulness Tradeoff in NLG—0
Information Gravity: A Field-Theoretic Model for Token Selection in Large Language Models—0
Information Structure Prediction for Visual-world Referring Expressions—0
Informative Text Generation from Knowledge Triples—0
Informativity in Image Captions vs. Referring Expressions—0
Informed Named Entity Recognition Decoding for Generative Language Models—0
Infusing NLU into Automatic Question Generation—0
Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue—0
Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation—0
INLG 2012 Proceedings of the Seventh International Natural Language Generation Conference—0
Innovations in Neural Data-to-text Generation: A Survey—0
Input-length-shortening and text generation via attention values—0
Input Reconstruction Attack against Vertical Federated Large Language Models—0
Input Seed Features for Guiding the Generation Process: A Statistical Approach for Spanish—0
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models—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