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

Showing 39513975 of 5335 papers

TitleStatusHype
Collective Generation of Natural Image Descriptions0
Collocation2Text: Controllable Text Generation from Guide Phrases in Russian0
Combinatorics vs Grammar: Archeology of Computational Poetry in Tape Mark I0
Combining Constraint Programming Reasoning with Large Language Model Predictions0
Combining Incremental Language Generation and Incremental Speech Synthesis for Adaptive Information Presentation0
Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis0
Combining Knowledge Graphs and Large Language Models0
Combining Referring Expression Generation and Surface Realization: A Corpus-Based Investigation of Architectures0
Comparative Analysis of CHATGPT and the evolution of language models0
Comparative Study of Sentence Embeddings for Contextual Paraphrasing0
Comparing Abstractive Summaries Generated by ChatGPT to Real Summaries Through Blinded Reviewers and Text Classification Algorithms0
Comparing Automatic Evaluation Measures for Image Description0
Comparing BERT-based Reward Functions for Deep Reinforcement Learning in Machine Translation0
Comparing Computational Architectures for Automated Journalism0
Comparing Grammatical Theories of Code-Mixing0
Comparing HMMs and Bayesian Networks for Surface Realisation0
Comparing the Template-Based Approach to GF: the case of Afrikaans0
Compilable Neural Code Generation with Compiler Feedback0
Complete Chess Games Enable LLM Become A Chess Master0
Composed Variational Natural Language Generation for Few-shot Intents0
Compositional Generalization for Data-to-Text Generation0
Comprehension Driven Document Planning in Natural Language Generation Systems0
Compressed and Smooth Latent Space for Text Diffusion Modeling0
Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity0
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1T5B BaselineBLEU48.74Unverified
2FactT5BBLEU48.37Unverified
3JointGT BaselineBLEU47.51Unverified
4FactJointGTBLEU47.39Unverified
5Control Prefixes (T5-large)METEOR0.41Unverified
6T5METEOR0.12Unverified
7BARTMETEOR0.11Unverified
#ModelMetricClaimedVerifiedStatus
1LeakGANBLEU-20.95Unverified
2partGANBLEU-20.91Unverified
3RankGANBLEU-20.85Unverified
4RelGAN (100)BLEU-20.85Unverified
5SeqGANBLEU-20.83Unverified
#ModelMetricClaimedVerifiedStatus
1LeakGANBLEU-20.96Unverified
2PPOGANBLEU-20.91Unverified
3RelGANBLEU-20.88Unverified
4SeqGANBLEU-20.86Unverified
5RankGANBLEU-20.78Unverified
#ModelMetricClaimedVerifiedStatus
1UniCRSDistinct-30.65Unverified
2CRFRDistinct-30.52Unverified
3KGSFDistinct-30.43Unverified
4C2CRSDistinct-30.33Unverified
5KBRDDistinct-30.3Unverified
#ModelMetricClaimedVerifiedStatus
1UniLMCIDEr14.92Unverified
2BART (TextBox 2.0)CIDEr12.98Unverified
3BARTMETEOR0.3Unverified
4T5METEOR0.29Unverified
#ModelMetricClaimedVerifiedStatus
1Beam search + A*esque (beam)BLEU-134.4Unverified
2Beam search + A*esque (sample)BLEU-134.4Unverified
3Beam search + A*esque (greedy)BLEU-134.3Unverified
4Beam searchBLEU-133.7Unverified
#ModelMetricClaimedVerifiedStatus
1RankGANBLEU-20.81Unverified
2SeqGANBLEU-20.74Unverified
3LeakGANBLEU-20.46Unverified
#ModelMetricClaimedVerifiedStatus
1TGen++METEOR0.17Unverified
2TGenMETEOR0.15Unverified
3TGen+METEOR0.15Unverified
#ModelMetricClaimedVerifiedStatus
1GPT2-124Meval_loss3.12Unverified
2GPT2-81M-LOOPeval_loss3.11Unverified
3GPT2-Hermiteeval_loss2.91Unverified
#ModelMetricClaimedVerifiedStatus
1LLaMA-65B+CFG (zero-shot)Accuracy96.6Unverified
2LLaMA-30B+CFG (zero-shot)Accuracy96.4Unverified
3LLaMA-13B+CFG (zero-shot)Accuracy95.1Unverified
#ModelMetricClaimedVerifiedStatus
1CNN-VAENLL332.1Unverified
2SA-VAENLL327.5Unverified
3Aggressive VAENLL326.7Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)BLEU-410.2Unverified
#ModelMetricClaimedVerifiedStatus
1STWGAN-GPBLEU-30.62Unverified
#ModelMetricClaimedVerifiedStatus
1PALMROUGE-L41.41Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)ROUGE-L64.34Unverified
#ModelMetricClaimedVerifiedStatus
1AEM+AttentionBLEU-114.17Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4ASR65.1Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)ROUGE-L42.96Unverified
#ModelMetricClaimedVerifiedStatus
1Graph2SeqBLEU22Unverified
#ModelMetricClaimedVerifiedStatus
1WGANGP + DGflowJS-40.19Unverified