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.

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( Image credit: Adversarial Ranking for Language Generation )

Papers

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Showing 2651–2700 of 5335 papers

TitleStatusHype
SeqPATE: Differentially Private Text Generation via Knowledge Distillation—0
Sequence-based Structured Prediction for Semantic Parsing—0
Sequence-Level Certainty Reduces Hallucination In Knowledge-Grounded Dialogue Generation—0
Sequence-level Large Language Model Training with Contrastive Preference Optimization—0
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking—0
Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings—0
Sequence-to-Sequence Models for Data-to-Text Natural Language Generation: Word- vs. Character-based Processing and Output Diversity—0
Sequentially Controlled Text Generation—0
Sequentially Controlled Text Generation—0
Service registration chatbot: collecting and comparing dialogues from AMT workers and service’s users—0
Setting the Record Straight on Transformer Oversmoothing—0
Set to Ordered Text: Generating Discharge Instructions from Medical Billing Codes—0
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study—0
SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation—0
Shaping a social robot's humor with Natural Language Generation and socially-aware reinforcement learning—0
Shared Task on Evaluating Accuracy in Natural Language Generation—0
Shared Task Proposal: Multilingual Surface Realization Using Universal Dependency Trees—0
Shared Task Proposal: Syntactic Paraphrase Ranking—0
Sheffield at SemEval-2017 Task 9: Transition-based language generation from AMR.—0
Show Us the Way: Learning to Manage Dialog from Demonstrations—0
Sign Language Generation with Expert Systems and CCG—0
Signs as Tokens: An Autoregressive Multilingual Sign Language Generator—0
Similarity-Based Reconstruction Loss for Meaning Representation—0
Simple and Effective Retrieve-Edit-Rerank Text Generation—0
SimpleNLG-IT: adapting SimpleNLG to Italian—0
SimpleNLG-TI: Adapting SimpleNLG to Tibetan—0
SimpleStyle: An Adaptable Style Transfer Approach—0
SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models—0
Simplifying Sentences with Sequence to Sequence Models—0
Simpson's Bias in NLP Training—0
Simulated annealing for optimization of graphs and sequences—0
'Since Lawyers are Males..': Examining Implicit Gender Bias in Hindi Language Generation by LLMs—0
Single Example Can Improve Zero-Shot Data Generation—0
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation—0
Sketch-to-Text Generation: Toward Contextual, Creative, and Coherent Composition—0
SkillNet-NLG: General-Purpose Natural Language Generation with a Sparsely Activated Approach—0
SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference—0
Skip-Thought GAN: Generating Text through Adversarial Training using Skip-Thought Vectors—0
Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network—0
Small But Funny: A Feedback-Driven Approach to Humor Distillation—0
Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer Learning—0
SMART: Sentences as Basic Units for Text Evaluation—0
Smart To-Do : Automatic Generation of To-Do Items from Emails—0
Smart To-Do: Automatic Generation of To-Do Items from Emails—0
SMArT: Training Shallow Memory-aware Transformers for Robotic Explainability—0
Social Biases in Automatic Evaluation Metrics for NLG—0
Some Theoretical Insights into Wasserstein GANs—0
Sometimes Painful but Certainly Promising: Feasibility and Trade-offs of Language Model Inference at the Edge—0
Sonnet Generation by Training on Non-poetic Texts with Discourse-level Coherence and Poetic Features—0
Sounding Board: A User-Centric and Content-Driven Social Chatbot—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