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 1601–1650 of 5335 papers

TitleStatusHype
Diversity Enhanced Table-to-Text Generation via Type Control—0
Efficient text generation of user-defined topic using generative adversarial networks—0
EgoCoder: Intelligent Program Synthesis with Hierarchical Sequential Neural Network Model—0
EgoLM: Multi-Modal Language Model of Egocentric Motions—0
EIPE-text: Evaluation-Guided Iterative Plan Extraction for Long-Form Narrative Text Generation—0
Eliciting Fine-Tuned Transformer Capabilities via Inference-Time Techniques—0
Black Box to White Box: Discover Model Characteristics Based on Strategic Probing—0
ELSA: A Style Aligned Dataset for Emotionally Intelligent Language Generation—0
Elsevier Arena: Human Evaluation of Chemistry/Biology/Health Foundational Large Language Models—0
Diversity as a By-Product: Goal-oriented Language Generation Leads to Linguistic Variation—0
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression—0
Embedding-Aligned Language Models—0
Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation—0
Emerging Security Challenges of Large Language Models—0
Diversifying Neural Text Generation with Part-of-Speech Guided Softmax and Sampling—0
EmojiGAN: learning emojis distributions with a generative model—0
Emotional Intelligence of Large Language Models—0
Emotional Manipulation Through Prompt Engineering Amplifies Disinformation Generation in AI Large Language Models—0
Adversarial Self-Supervised Data-Free Distillation for Text Classification—0
Emotion and Sentiment Guided Paraphrasing—0
Emotion-Conditioned Text Generation through Automatic Prompt Optimization—0
Emotion Style Transfer with a Specified Intensity Using Deep Reinforcement Learning—0
A Context-aware Natural Language Generator for Dialogue Systems—0
Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers—0
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data—0
Empirical Study of Large Language Models as Automated Essay Scoring Tools in English Composition__Taking TOEFL Independent Writing Task for Example—0
Empirical Validation of Reichenbach's Tense Framework—0
A French Corpus for Semantic Similarity—0
An Operation Network for Abstractive Sentence Compression—0
Calibrating Sequence likelihood Improves Conditional Language Generation—0
Divergent Token Metrics: Measuring degradation to prune away LLM components -- and optimize quantization—0
Distribution Aware Metrics for Conditional Natural Language Generation—0
Distributional Information Embedding: A Framework for Multi-bit Watermarking—0
BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing—0
Expressive NLG for Next-Generation Learning Environments: Language, Affect, and Narrative—0
Structured Chain-of-Thought Prompting for Code Generation—0
Enabling Efficient On-Device Fine-Tuning of LLMs Using Only Inference Engines—0
Enabling text readability awareness during the micro planning phase of NLG applications—0
Extracting Linguistic Resources from the Web for Concept-to-Text Generation—0
Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods—0
CaM-Gen: Causally Aware Metric-Guided Text Generation—0
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation—0
Distinctive Slogan Generation with Reconstruction—0
End-to-end Argument Generation System in Debating—0
A Context-aware Convolutional Natural Language Generation model for Dialogue Systems—0
End-to-end Concept Word Detection for Video Captioning, Retrieval, and Question Answering—0
Distinctive Similarity of Clausal Coordinate Ellipsis in Russian Compared to Dutch, Estonian, German, and Hungarian—0
Exploring the Relationship Between Diversity and Quality in Ad Text Generation—0
Distilling semantically aware orders for autoregressive image generation—0
Positioning yourself in the maze of Neural Text Generation: A Task-Agnostic Survey—0
Show:102550
← PrevPage 33 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