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 50015025 of 5335 papers

TitleStatusHype
Generating Discourse Connectives with Pre-trained Language Models: Conditioning on Discourse Relations Helps Reconstruct the PDTBCode0
Search and Learn: Improving Semantic Coverage for Data-to-Text GenerationCode0
Adversarial Mutual Information for Text GenerationCode0
OmniDRCA: Parallel Speech-Text Foundation Model via Dual-Resolution Speech Representations and Contrastive AlignmentCode0
Generate, Filter, and Rank: Grammaticality Classification for Production-Ready NLG SystemsCode0
Generalizing Reward Modeling for Out-of-Distribution Preference LearningCode0
Generalized Tuning of Distributional Word Vectors for Monolingual and Cross-Lingual Lexical EntailmentCode0
Generalized Supervised Attention for Text GenerationCode0
Attribute Alignment: Controlling Text Generation from Pre-trained Language ModelsCode0
Deep Image-to-Recipe TranslationCode0
Attention Is Not All You Need AnymoreCode0
See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation LearningCode0
Deep Copycat Networks for Text-to-Text GenerationCode0
DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question AnsweringCode0
Attention Is Indeed All You Need: Semantically Attention-Guided Decoding for Data-to-Text NLGCode0
Byte-Level Recursive Convolutional Auto-Encoder for TextCode0
Attention as Grounding: Exploring Textual and Cross-Modal Attention on Entities and Relations in Language-and-Vision TransformerCode0
Decoding the End-to-end Writing Trajectory in Scholarly ManuscriptsCode0
Unsupervised Approach to Evaluate Sentence-Level Fluency: Do We Really Need Reference?Code0
A Comparative Study of Training Objectives for Clarification Facet GenerationCode0
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL DivergenceCode0
Gender Biases in Automatic Evaluation Metrics for Image CaptioningCode0
Selective Token Generation for Few-shot Natural Language GenerationCode0
GanLM: Encoder-Decoder Pre-training with an Auxiliary DiscriminatorCode0
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NERCode0
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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