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 2301–2350 of 5335 papers

TitleStatusHype
A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions—0
Few-Shot Table-to-Text Generation with Prompt Planning and Knowledge Memorization—0
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning—0
Bag of Tricks for Training Data Extraction from Language ModelsCode1
Black Box Adversarial Prompting for Foundation ModelsCode1
Controlling Personality Style in Dialogue with Zero-Shot Prompt-Based Learning—0
EvoText: Enhancing Natural Language Generation Models via Self-Escalation Learning for Up-to-Date Knowledge and Improved Performance—0
GPTScore: Evaluate as You DesireCode2
What Matters In The Structured Pruning of Generative Language Models?Code2
Protecting Language Generation Models via Invisible WatermarkingCode1
LoFT: Enhancing Faithfulness and Diversity for Table-to-Text Generation via Logic Form ControlCode1
Unleashing the True Potential of Sequence-to-Sequence Models for Sequence Tagging and Structure ParsingCode1
Nationality Bias in Text Generation—0
The Science of Detecting LLM-Generated Texts—0
Dynamic Scheduled Sampling with Imitation Loss for Neural Text Generation—0
In-Context Retrieval-Augmented Language ModelsCode2
Execution-based Code Generation using Deep Reinforcement LearningCode1
Grounding Language Models to Images for Multimodal Inputs and OutputsCode2
Adaptive Machine Translation with Large Language ModelsCode1
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language ModelsCode4
Input Perturbation Reduces Exposure Bias in Diffusion ModelsCode1
Semi-Parametric Video-Grounded Text Generation—0
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NERCode0
Audience-Centric Natural Language Generation via Style InfusionCode0
Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning—0
ExClaim: Explainable Neural Claim Verification Using RationalizationCode0
Investigating Strategies for Clause RecommendationCode0
MTTN: Multi-Pair Text to Text Narratives for Prompt GenerationCode1
Regeneration Learning: A Learning Paradigm for Data Generation—0
Blacks is to Anger as Whites is to Joy? Understanding Latent Affective Bias in Large Pre-trained Neural Language ModelsCode0
Rationalization for Explainable NLP: A Survey—0
Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences—0
UserSimCRS: A User Simulation Toolkit for Evaluating Conversational Recommender SystemsCode1
Universal Multimodal Representation for Language Understanding—0
Graph-based Keyword Planning for Legal Clause Generation from TopicsCode0
Sequentially Controlled Text Generation—0
Adaptively Clustering Neighbor Elements for Image-Text GenerationCode0
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating ApproachCode0
AutoAD II: The Sequel - Who, When, and What in Movie Audio Description—0
Fusing Pre-Trained Language Models With Multimodal Prompts Through Reinforcement LearningCode1
eVAE: Evolutionary Variational AutoencoderCode2
TegFormer: Topic-to-Essay Generation with Good Topic Coverage and High Text Coherence—0
TextBox 2.0: A Text Generation Library with Pre-trained Language ModelsCode3
On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model PerspectiveCode1
Avicenna: a challenge dataset for natural language generation toward commonsense syllogistic reasoningCode0
CinPatent: Datasets for Patent Classification—0
Do DALL-E and Flamingo Understand Each Other?—0
Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise—0
Commentary Generation from Data Records of Multiplayer Strategy Esports GameCode0
How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling?—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