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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 3101–3150 of 5335 papers

TitleStatusHype
Self-Adversarial Learning with Comparative Discrimination for Text Generation—0
Self and Cross-Model Distillation for LLMs: Effective Methods for Refusal Pattern Alignment—0
Self-conditioned Embedding Diffusion for Text Generation—0
Self-conditioning pre-trained language models—0
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes—0
Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages—0
Self-Learning Architecture for Natural Language Generation—0
Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification—0
Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning—0
Semantic Consistency for Assuring Reliability of Large Language Models—0
Semantic Features Based on Word Alignments for Estimating Quality of Text Simplification—0
Semantic Layered Embedding Diffusion in Large Language Models for Multi-Contextual Consistency—0
Semantic Refinement GRU-based Neural Language Generation for Spoken Dialogue Systems—0
Semantic Relations in Discourse: The Current State of ISO 24617-8—0
SemEval-2024 Shared Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes—0
SEMILAR: The Semantic Similarity Toolkit—0
Semi-Parametric Video-Grounded Text Generation—0
Semi-Supervised Adaptation of Diffusion Models for Handwritten Text Generation—0
Self-Supervised Image Captioning with CLIP—0
Semi-supervised methods for expanding psycholinguistics norms by integrating distributional similarity with the structure of WordNet—0
Semi-Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models—0
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training—0
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity—0
SemScribe: Natural Language Generation for Medical Reports—0
Sentence Compression with Joint Structural Inference—0
Sentence Fusion for Multidocument News Summarization—0
Sentence-Level Content Planning and Style Specification for Neural Text Generation—0
Sentence-Level Discourse Parsing as Text-to-Text Generation—0
Sentence-Level Fluency Evaluation: References Help, But Can Be Spared!—0
Sentence Ordering in Electronic Navigational Chart Companion Text Generation—0
Sentence Packaging in Text Generation from Semantic Graphs as a Community Detection Problem—0
Sentence Pair Embeddings Based Evaluation Metric for Abstractive and Extractive Summarization—0
Sentence Realization with Unlexicalized Tree Linearization Grammars—0
Sentence Semantic Regression for Text Generation—0
SentiInc: Incorporating Sentiment Information into Sentiment Transfer Without Parallel Data—0
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
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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