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 1851–1900 of 5335 papers

TitleStatusHype
Discrete Structural Planning for Neural Machine Translation—0
Exploring Structural Encoding for Data-to-Text Generation—0
Discrete Structural Planning for Neural Machine Translation—0
A Compression-Compilation Framework for On-mobile Real-time BERT Applications—0
Generating Annotated Graphs using the NLG Pipeline Architecture—0
Discrete Structural Planning for Generating Diverse Translations—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
Classification or Generation? Understanding Paradigm Shift for Knowledge-Intensive Tasks—0
Discrete Diffusion Language Model for Long Text Summarization—0
Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation—0
EXPLORING VULNERABILITIES OF BERT-BASED APIS—0
Exposing Bias in Online Communities through Large-Scale Language Models—0
Discrete Copula Diffusion—0
Discovering User Groups for Natural Language Generation—0
Expressive NLG for Next-Generation Learning Environments: Language, Affect, and Narrative—0
Annotating Event Appearance for Japanese Chess Commentary Corpus—0
A Better LLM Evaluator for Text Generation: The Impact of Prompt Output Sequencing and Optimization—0
Generating Answering Patterns from Factoid Arabic Questions—0
Discovering Non-Monotonic Autoregressive Ordering for Text Generation Models using Sinkhorn Distributions—0
BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs—0
Discovering Latent Structure in Task-Oriented Dialogues—0
Extracting a Lexicon of Discourse Connectives in Czech from an Annotated Corpus—0
Click or Type: An Analysis of Wizard's Interaction for Future Wizard Interface Design—0
Discourse Planning with an N-gram Model of Relations—0
Beyond Turing: A Comparative Analysis of Approaches for Detecting Machine-Generated Text—0
Extractive email thread summarization: Can we do better than He Said She Said?—0
Extractive Summary as Discrete Latent Variables—0
Clinical Context-aware Radiology Report Generation from Medical Images using Transformers—0
Clinical Insights: A Comprehensive Review of Language Models in Medicine—0
EzSQL: An SQL intermediate representation for improving SQL-to-text Generation—0
Annotating Errors and Emotions in Human-Chatbot Interactions in Italian—0
F\^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax—0
Discourse-Driven Narrative Generation With Bipartite Planning—0
Discourse-Aware Prompt Design for Text Generation—0
LLMs May Perform MCQA by Selecting the Least Incorrect Option—0
FactLens: Benchmarking Fine-Grained Fact Verification—0
Clinical Text Generation through Leveraging Medical Concept and Relations—0
Facts-and-Feelings: Capturing both Objectivity and Subjectivity in Table-to-Text Generation—0
Discourse-Aware Soft Prompting for Text Generation—0
CLIP4Caption: CLIP for Video Caption—0
Discourse-Aware Neural Rewards for Coherent Text Generation—0
Beyond Text Generation: Supporting Writers with Continuous Automatic Text Summaries—0
Factuality of Large Language Models: A Survey—0
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback—0
An NLG System for Constituent Correspondence: Personality, Affect, and Alignment—0
Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text 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 (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