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 4051–4100 of 5335 papers

TitleStatusHype
Multilingual access to cultural heritage content on the Semantic Web—0
Multilingual AMR-to-Text Generation—0
Multilingual Controlled Generation And Gold-Standard-Agnostic Evaluation of Code-Mixed Sentences—0
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction—0
Multilingual Hallucination Gaps in Large Language Models—0
Multilingual Ontologies for the Representation and Processing of Folktales—0
Multilingual Speech Translation from Efficient Finetuning of Pretrained Models—0
Multimodal Conditionality for Natural Language Generation—0
Multi-modal Dependency Tree for Video Captioning—0
Multi-modal embeddings using multi-task learning for emotion recognition—0
Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog—0
Multimodal Matching Transformer for Live Commenting—0
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels—0
Multimodal Quantitative Language for Generative Recommendation—0
Multimodal Story Generation on Plural Images—0
Multi-Modal Video Feature Extraction for Popularity Prediction—0
Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training—0
Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation—0
Multi-Review Fusion-in-Context—0
MultiScale Contextual Bandits for Long Term Objectives—0
Multi-step Natural Language Understanding—0
Multi-style Generative Reading Comprehension—0
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations—0
Multi-task Attention-based Neural Networks for Implicit Discourse Relationship Representation and Identification—0
Multi-task learning for historical text normalization: Size matters—0
Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue—0
Multitask Multimodal Prompted Training for Interactive Embodied Task Completion—0
Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling—0
Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles—0
MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling—0
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text—0
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation—0
MUTT: Metric Unit TesTing for Language Generation Tasks—0
Myers-Briggs Personality Classification and Personality-Specific Language Generation Using Pre-trained Language Models—0
Narration Generation for Cartoon Videos—0
Narrative Composition: Achieving the Perceived Linearity of Narrative—0
Narrative Generation from Extracted Associations—0
Nationality Bias in Text Generation—0
Natural Answer Generation: From Factoid Answer to Full-length Answer using Grammar Correction—0
Natural Answer Generation with Heterogeneous Memory—0
Natural Language Descriptions for Human Activities in Video Streams—0
Natural Language Descriptions of Human Activities Scenes: Corpus Generation and Analysis—0
Natural Language Descriptions of Visual Scenes Corpus Generation and Analysis—0
Natural Language Generation—0
Natural Language Generation and Assistive Technologies—0
Natural Language Generation and Summarization at RALI—0
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review—0
Natural Language Generation as Planning under Uncertainty Using Reinforcement Learning—0
Natural Language Generation at Scale: A Case Study for Open Domain Question Answering—0
Natural Language Generation Challenges for Explainable AI—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 (sample)BLEU-134.4—Unverified
2Beam search + A*esque (beam)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