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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 3951–4000 of 5335 papers

TitleStatusHype
Collective Generation of Natural Image Descriptions—0
Collocation2Text: Controllable Text Generation from Guide Phrases in Russian—0
Combinatorics vs Grammar: Archeology of Computational Poetry in Tape Mark I—0
Combining Constraint Programming Reasoning with Large Language Model Predictions—0
Combining Incremental Language Generation and Incremental Speech Synthesis for Adaptive Information Presentation—0
Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis—0
Combining Knowledge Graphs and Large Language Models—0
Combining Referring Expression Generation and Surface Realization: A Corpus-Based Investigation of Architectures—0
Comparative Analysis of CHATGPT and the evolution of language models—0
Comparative Study of Sentence Embeddings for Contextual Paraphrasing—0
Comparing Abstractive Summaries Generated by ChatGPT to Real Summaries Through Blinded Reviewers and Text Classification Algorithms—0
Comparing Automatic Evaluation Measures for Image Description—0
Comparing BERT-based Reward Functions for Deep Reinforcement Learning in Machine Translation—0
Comparing Computational Architectures for Automated Journalism—0
Comparing Grammatical Theories of Code-Mixing—0
Comparing HMMs and Bayesian Networks for Surface Realisation—0
Comparing the Template-Based Approach to GF: the case of Afrikaans—0
Compilable Neural Code Generation with Compiler Feedback—0
Complete Chess Games Enable LLM Become A Chess Master—0
Composed Variational Natural Language Generation for Few-shot Intents—0
Compositional Generalization for Data-to-Text Generation—0
Comprehension Driven Document Planning in Natural Language Generation Systems—0
Compressed and Smooth Latent Space for Text Diffusion Modeling—0
Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity—0
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation—0
Computational Generation of Referring Expressions: A Survey—0
Computational Investigations of Pragmatic Effects in Natural Language—0
Imagined versus Remembered Stories: Quantifying Differences in Narrative Flow—0
Concept-Oriented Deep Learning with Large Language Models—0
Concept-to-text Generation via Discriminative Reranking—0
ConCodeEval: Evaluating Large Language Models for Code Constraints in Domain-Specific Languages—0
Conditional Generation and Snapshot Learning in Neural Dialogue Systems—0
Conditional Random Fields for Responsive Surface Realisation using Global Features—0
Conditional Variational Autoencoder for Neural Machine Translation—0
Conditioned Natural Language Generation using only Unconditioned Language Model: An Exploration—0
Confabulation: The Surprising Value of Large Language Model Hallucinations—0
Confident Adaptive Language Modeling—0
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering—0
ConQX: Semantic Expansion of Spoken Queries for Intent Detection based on Conditioned Text Generation—0
Consistency of Responses and Continuations Generated by Large Language Models on Social Media—0
Constrained Language Generation with Discrete Diffusion Models—0
Constrained Text Generation with Global Guidance -- Case Study on CommonGen—0
Constraints First: A New MDD-based Model to Generate Sentences Under Constraints—0
Constructing narrative using a generative model and continuous action policies—0
Content Aware Source Code Change Description Generation—0
Content Determination for Chess as a Source for Suspenseful Narratives—0
Content selection as semantic-based ontology exploration—0
Content Selection Challenge - University of Aberdeen Entry—0
Content Selection for Real-time Sports News Construction from Commentary Texts—0
Content Selection From Semantic Web Data—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