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 3001–3050 of 5335 papers

TitleStatusHype
Design and Development of Spoken Dialogue System in Indic Languages—0
Document Level Hierarchical Transformer—0
Robustness Analysis of Grover for Machine-Generated News Detection—0
Exploration into Translation-Equivariant Image QuantizationCode0
Multi-modal Dependency Tree for Video Captioning—0
Improvement in Machine Translation with Generative Adversarial Networks—0
ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic ArithmeticCode1
Context Matters in Semantically Controlled Language Generation for Task-oriented Dialogue Systems—0
Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured SequencesCode1
Realistic simulation of users for IT systems in cyber ranges—0
UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language ModelingCode1
Reinforcement Learning for Few-Shot Text Generation AdaptationCode0
L-Verse: Bidirectional Generation Between Image and TextCode1
Triples-to-Text Generation with Reinforcement Learning Based Graph-augmented Neural Networks—0
How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN—0
Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models—0
What Makes The Story Forward? Inferring Commonsense Explanations as Prompts for Future Event Generation—0
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings—0
FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metrics for Automatic Text Generation—0
Improving Compositional Generalization with Self-Training for Data-to-Text Generation—0
REDTABS: A Collection of Report Document Datasets for Long Text and Multi-Table Summarization—0
Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation—0
Context-Aware Language Modeling for Goal-Oriented Dialogue Systems—0
Modeling Intensification for Signed Language Generation: A Computational Approach—0
Rethinking and Refining the Distinct Metric—0
Hierarchical Recurrent Aggregative Generation for Few-Shot NLG—0
IndicBART: A Pre-trained Model for Indic Natural Language Generation—0
Graph Pre-training for AMR Parsing and Generation—0
On the Multilingual Capabilities of Very Large-Scale English Language Models—0
Generative Pretraining for Paraphrase Evaluation—0
Explaining Toxic Text via Knowledge Enhanced Text Generation—0
CaM-Gen: Causally-aware Guided Text Generation—0
Sentence-Level Discourse Parsing as Text-to-Text Generation—0
The Case for a Single Model that can Both Generate Continuations and Fill-in-the-Blank—0
FLAP: Table-to-Text Generation with Feature Indication and Numerical Reasoning Pretraining—0
OpenKorPOS: Democratizing Korean Tokenization with Voting-Based Open Corpus Annotation—0
Boosting coherence of language models—0
Open Domain Question Answering over Virtual Documents: A Unified Approach for Data and Text—0
How Do Seq2Seq Models Perform on End-to-End Data-to-Text Generation?—0
Learning to Rank Visual Stories From Human Ranking Data—0
Fine-Grained Controllable Text Generation Using Non-Residual Prompting—0
RoMe: A Robust Metric for Evaluating Natural Language Generation—0
Improving Controllable Text Generation with Position-Aware Weighted Decoding—0
Diversifying Neural Text Generation with Part-of-Speech Guided Softmax and Sampling—0
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis—0
Self-conditioning pre-trained language models—0
Neural Pipeline for Zero-Shot Data-to-Text Generation—0
Controllable Natural Language Generation with Contrastive Prefixes—0
MReD: A Meta-Review Dataset for Structure-Controllable Text Generation—0
Controlling Pretrained Language Generation Models by Learning to Focus—0
Show:102550
← PrevPage 61 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