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 2951–3000 of 5335 papers

TitleStatusHype
Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation—0
RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge—0
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey—0
Recent Advances in Neural Text Generation: A Task-Agnostic Survey—0
Recent Progress in Deep Learning for NLP—0
Recipe Instruction Semantics Corpus (RISeC): Resolving Semantic Structure and Zero Anaphora in Recipes—0
Record-to-Text Generation with Style Imitation—0
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation—0
Recurrent Continuous Translation Models—0
Recurrent Hierarchical Topic-Guided Neural Language Models—0
RecycleGPT: An Autoregressive Language Model with Recyclable Module—0
REDTABS: A Collection of Report Document Datasets for Long Text and Multi-Table Summarization—0
Reducing Hallucinations in Neural Machine Translation with Feature Attribution—0
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation—0
Reducing Tool Hallucination via Reliability Alignment—0
Reference-free Evaluation Metrics for Text Generation: A Survey—0
Reference production in human-computer interaction: Issues for Corpus-based Referring Expression Generation—0
Referential Success of Set Referring Expressions with Fuzzy Properties—0
Refer-iTTS: A System for Referring in Spoken Installments to Objects in Real-World Images—0
Referring Expression Generation in time-constrained communication—0
Referring Expression Generation under Uncertainty: Algorithm and Evaluation Framework—0
Referring in Installments: A Corpus Study of Spoken Object References in an Interactive Virtual Environment—0
Referring to what you know and do not know: Making Referring Expression Generation Models Generalize To Unseen Entities—0
Refining Data for Text Generation—0
ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework—0
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models—0
Reformulating student contributions in tutorial dialogue—0
Regeneration Learning: A Learning Paradigm for Data Generation—0
Regularly varying representation for sentence embedding—0
Reinforced Abstractive Summarization with Adaptive Length Controlling—0
Reinforced Rewards Framework for Text Style Transfer—0
Reinforcement Learning for Generative AI: A Survey—0
Related Work and Citation Text Generation: A Survey—0
Relating Neural Text Degeneration to Exposure Bias—0
Relational Memory Augmented Language Models—0
REMI: Mining Intuitive Referring Expressions on Knowledge Bases—0
GlyphDiffusion: Text Generation as Image Generation—0
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text—0
REPA: Russian Error Types Annotation for Evaluating Text Generation and Judgment Capabilities—0
Repetition Neurons: How Do Language Models Produce Repetitions?—0
Repetitions are not all alike: distinct mechanisms sustain repetition in language models—0
RePPL: Recalibrating Perplexity by Uncertainty in Semantic Propagation and Language Generation for Explainable QA Hallucination Detection—0
Representation of linguistic and domain knowledge for second language learning in virtual worlds—0
Reproducing the Metric-Based Evaluation of a Set of Controllable Text Generation Techniques—0
Reranking for Natural Language Generation from Logical Forms: A Study based on Large Language Models—0
Reranking Laws for Language Generation: A Communication-Theoretic Perspective—0
Research Challenges in Designing Differentially Private Text Generation Mechanisms—0
Reshaping Robot Trajectories Using Natural Language Commands: A Study of Multi-Modal Data Alignment Using Transformers—0
Resource-Efficient Medical Report Generation using Large Language Models—0
Resource Evaluation for Usable Speech Interfaces: Utilizing Human-Human Dialogue—0
Show:102550
← PrevPage 60 of 107Next →
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