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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 1401–1450 of 5335 papers

TitleStatusHype
CacheFocus: Dynamic Cache Re-Positioning for Efficient Retrieval-Augmented Generation—0
A RAG-Based Institutional Assistant—0
A Framework for the Generation of Computer System Diagnostics in Natural Language using Finite State Methods—0
Bypassing DARCY Defense: Indistinguishable Universal Adversarial Triggers—0
Active Learning for Natural Language Generation—0
Towards Coherent and Cohesive Long-form Text Generation—0
Enhancing Visual Reliance in Text Generation: A Bayesian Perspective on Mitigating Hallucination in Large Vision-Language Models—0
BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation—0
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression—0
A Quality-Diversity Controllable GAN for Text Generation—0
BURT: BERT-inspired Universal Representation from Learning Meaningful Segment—0
Building the Directed Semantic Graph for Coherent Long Text Generation—0
A Qualitative Analysis of a Corpus of Opinion Summaries based on Aspects—0
A Framework for Real-time Safeguarding the Text Generation of Large Language Model—0
Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation—0
Building RDF Content for Data-to-Text Generation—0
A proof of concept on triangular test evaluation for Natural Language Generation—0
Building Production-Quality NLG Models with Minimal Labelled Data—0
Building Joint Relationship Attention Network for Image-Text Generation—0
A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction—0
A Framework for Health Behavior Change using Companionable Robots—0
Enriching and Controlling Global Semantics for Text Summarization—0
Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks—0
Building Hierarchically Disentangled Language Models for Text Generation with Named Entities—0
A practical perspective on connective generation—0
Building A User-Centric and Content-Driven Socialbot—0
Approximation Strategies for Multi-Structure Sentence Compression—0
A Framework for Evaluating Text Correction—0
Building a System for Stock News Generation in Russian—0
Building a German/Simple German Parallel Corpus for Automatic Text Simplification—0
Applying Statistical Post-Editing to English-to-Korean Rule-based Machine Translation System—0
Building Adaptive Acceptability Classifiers for Neural NLG—0
Building a Corpus for Personality-dependent Natural Language Understanding and Generation—0
AffectON: Incorporating Affect Into Dialog Generation—0
A Critical Look At Tokenwise Reward-Guided Text Generation—0
A bird's eye view on coherence, and a worm's eye view on cohesion—0
Applications of NLG in practical conversational AI settings—0
Bringing Roguelikes to Visually-Impaired Players by Using NLP—0
Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation—0
Applications of Large Language Model Reasoning in Feature Generation—0
Affect-LM: A Neural Language Model for Customizable Affective Text Generation—0
Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models—0
Application of GPT Language Models for Innovation in Activities in University Teaching—0
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation—0
Application of AI-based Models for Online Fraud Detection and Analysis—0
Affective Natural Language Generation of Event Descriptions through Fine-grained Appraisal Conditions—0
Enhancing the Expression of Contrast in the SPaRKy Restaurant Corpus—0
FineEdit: Unlock Instruction-Based Text Editing for LLMs—0
A farewell to arms: Non-verbal communication for non-humanoid robots—0
Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation—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