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 4451–4500 of 5335 papers

TitleStatusHype
Exploiting Discourse Relations between Sentences for Text Clustering—0
Exploiting Image Generality for Lexical Entailment Detection—0
Exploiting Leaderboards for Large-Scale Distribution of Malicious Models—0
Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities—0
Exploiting naive vs expert discourse annotations: an experiment using lexical cohesion to predict Elaboration / Entity-Elaboration confusions—0
Exploiting Ontology Lexica for Generating Natural Language Texts from RDF Data—0
Exploration Based Language Learning for Text-Based Games—0
Exploration of Masked and Causal Language Modelling for Text Generation—0
Exploration of the Impact of Maximum Entropy in Recurrent Neural Network Language Models for Code-Switching Speech—0
Exploring AI Text Generation, Retrieval-Augmented Generation, and Detection Technologies: a Comprehensive Overview—0
Exploring and Adapting Chinese GPT to Pinyin Input Method—0
Exploring and Evaluating Hallucinations in LLM-Powered Code Generation—0
Exploring Automatic Evaluation Methods based on a Decoder-based LLM for Text Generation—0
Exploring Chunk Based Templates for Generating a subset of English Text—0
Exploring Contextual Flux in Large Language Models: A Novel Approach to Self-Modulating Semantic Networks—0
Exploring Controllable Text Generation Techniques—0
Exploring Conversational Language Generation for Rich Content about Hotels—0
Exploring Facets of Language Generation in the Limit—0
A Zipf's Law-based Text Generation Approach for Addressing Imbalance in Entity Extraction—0
Exploring Jailbreak Attacks on LLMs through Intent Concealment and Diversion—0
Exploring Lexical-Semantic Knowledge in the Generation of Novel Riddles in Portuguese—0
Exploring Looping Effects in RNN-based Architectures—0
Exploring Mathematical Extrapolation of Large Language Models with Synthetic Data—0
Exploring Mobile Touch Interaction with Large Language Models—0
Exploring Structural Encoding for Data-to-Text Generation—0
Exploring Syntactic Representations for Native Language Identification—0
Exploring Text Links for Coherent Multi-Document Summarization—0
Exploring the Adversarial Capabilities of Large Language Models—0
Exploring the Behavior of Classic REG Algorithms in the Description of Characters in 3D Images—0
Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review—0
Exploring the Impact of Personality Traits on LLM Bias and Toxicity—0
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data—0
Exploring the Relationship Between Diversity and Quality in Ad Text Generation—0
EXPLORING VULNERABILITIES OF BERT-BASED APIS—0
Exposing Bias in Online Communities through Large-Scale Language Models—0
Expressive NLG for Next-Generation Learning Environments: Language, Affect, and Narrative—0
Extending WordNet with Fine-Grained Collocational Information via Supervised Distributional Learning—0
Extracting a bilingual semantic grammar from FrameNet-annotated corpora—0
Extracting a Lexicon of Discourse Connectives in Czech from an Annotated Corpus—0
Extracting Linguistic Resources from the Web for Concept-to-Text Generation—0
Extractive email thread summarization: Can we do better than He Said She Said?—0
Extractive Summary as Discrete Latent Variables—0
EzSQL: An SQL intermediate representation for improving SQL-to-text Generation—0
F^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax—0
F\^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax—0
Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation—0
FactLens: Benchmarking Fine-Grained Fact Verification—0
Facts-and-Feelings: Capturing both Objectivity and Subjectivity in Table-to-Text Generation—0
Factuality Challenges in the Era of Large Language Models—0
Factuality of Large Language Models: A Survey—0
Show:102550
← PrevPage 90 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