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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4351–4400 of 5335 papers

TitleStatusHype
Position: It's Time to Act on the Risk of Efficient Personalized Text Generation—0
POS-Tag Based Poetry Generation with WordNet—0
Post-edit Analysis of Collective Biography Generation—0
Power Norm Based Lifelong Learning for Paraphrase Generations—0
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation—0
PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification—0
PPLM Revisited: Steering and Beaming a Lumbering Mammoth to Control Text Generation—0
PRAL: A Tailored Pre-Training Model for Task-Oriented Dialog Generation—0
Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation—0
Predictability and Causality in Spanish and English Natural Language Generation—0
Predicting Causes of Reformulation in Intelligent Assistants—0
Predicting Grammaticality on an Ordinal Scale—0
Predicting sentential semantic compatibility for aggregation in text-to-text generation—0
Predicting the Presence of Discourse Connectives—0
Predicting the Resolution of Referring Expressions from User Behavior—0
Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling—0
Preface to Papers for GenChal—0
The Comparative Trap: Pairwise Comparisons Amplifies Biased Preferences of LLM Evaluators—0
Pre-trained Language Model Representations for Language Generation—0
Pretrained Language Models for Text Generation: A Survey—0
Pre-training a Transformer-Based Generative Model Using a Small Sepedi Dataset—0
Pretraining for Conditional Generation with Pseudo Self Attention—0
Preventing posterior collapse in variational autoencoders for text generation via decoder regularization—0
Preventing Posterior Collapse with Levenshtein Variational Autoencoder—0
Priberam Compressive Summarization Corpus: A New Multi-Document Summarization Corpus for European Portuguese—0
Principled Gradient-based Markov Chain Monte Carlo for Text Generation—0
Private prediction for large-scale synthetic text generation—0
Private Text Generation by Seeding Large Language Model Prompts—0
Probabilistic Consensus through Ensemble Validation: A Framework for LLM Reliability—0
Probabilistic Dialogue Models with Prior Domain Knowledge—0
Probabilistic Domain Modelling With Contextualized Distributional Semantic Vectors—0
Probabilistic Frame Induction—0
Probabilistic Medical Predictions of Large Language Models—0
Probabilistic Verb Selection for Data-to-Text Generation—0
Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation—0
Probing Language Models' Gesture Understanding for Enhanced Human-AI Interaction—0
Probing Omissions and Distortions in Transformer-based RDF-to-Text Models—0
Procedural Memory Is Not All You Need: Bridging Cognitive Gaps in LLM-Based Agents—0
Procedural Text Generation from an Execution Video—0
Procedural Text Generation from a Photo Sequence—0
Proceedings of the 10th International Conference on Natural Language Generation—0
Proceedings of the 11th International Conference on Natural Language Generation—0
Learning Latent Semantic Annotations for Grounding Natural Language to Structured DataCode0
Learning From Free-Text Human Feedback -- Collect New Datasets Or Extend Existing Ones?Code0
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian DistributionCode0
Learning Natural Language Generation with Truncated Reinforcement LearningCode0
Learning Neural Templates for Text GenerationCode0
Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text GenerationCode0
Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark RemedyCode0
Probing Neural Topology of Large Language ModelsCode0
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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