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 2951–3000 of 5335 papers

TitleStatusHype
Team Flow at DRC2022: Pipeline System for Travel Destination Recommendation Task in Spoken Dialogue—0
SafeText: A Benchmark for Exploring Physical Safety in Language Models—0
Social Biases in Automatic Evaluation Metrics for NLG—0
Table-To-Text generation and pre-training with TabT5—0
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual SamplesCode0
LEATHER: A Framework for Learning to Generate Human-like Text in DialogueCode0
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey—0
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation—0
PCFG-based Natural Language Interface Improves Generalization for Controlled Text GenerationCode0
The COVID That Wasn't: Counterfactual Journalism Using GPT—0
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models—0
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets—0
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods—0
DATScore: Evaluating Translation with Data Augmented Translations—0
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization—0
CHARD: Clinical Health-Aware Reasoning Across Dimensions for Text Generation ModelsCode0
BLAB Reporter: Automated journalism covering the Blue AmazonCode0
Comparing Computational Architectures for Automated Journalism—0
An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation—0
Unsupervised Neural Stylistic Text Generation using Transfer learning and Adapters—0
FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings—0
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text—0
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training—0
Unsupervised Sentence Textual Similarity with Compositional Phrase SemanticsCode0
Text-to-Audio Grounding Based Novel Metric for Evaluating Audio Caption Similarity—0
A Non-monotonic Self-terminating Language ModelCode0
Comparing BERT-based Reward Functions for Deep Reinforcement Learning in Machine Translation—0
Enhancing Task-Specific Distillation in Small Data Regimes through Language Generation—0
Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation—0
Building Joint Relationship Attention Network for Image-Text Generation—0
Improving Code-switched ASR with Linguistic Information—0
The COVID That Wasn’t: Counterfactual Journalism Using GPT—0
BiBL: AMR Parsing and Generation with Bidirectional Bayesian LearningCode0
War and Pieces: Comparing Perspectives About World War I and II Across Wikipedia Language Communities—0
Topicalization in Language Models: A Case Study on Japanese—0
Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages?—0
Analyzing Persuasion Strategies of Debaters on Social Media—0
Multi-Attribute Controlled Text Generation with Contrastive-Generator and External-Discriminator—0
Programmable Annotation with Diversed Heuristics and Data Denoising—0
CoCGAN: Contrastive Learning for Adversarial Category Text Generation—0
Few-Shot Pidgin Text Adaptation via Contrastive Fine-Tuning—0
Quantifying Bias from Decoding Techniques in Natural Language GenerationCode0
Content Type Profiling of Data-to-Text Generation DatasetsCode0
QSTS: A Question-Sensitive Text Similarity Measure for Question Generation—0
NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation—0
Faithful Abstractive Summarization via Fact-aware Consistency-constrained TransformerCode0
CodeDSI: Differentiable Code Search—0
FRE at SocialDisNER: Joint Learning of Language Models for Named Entity Recognition—0
Investigating Metric Diversity for Evaluating Long Document SummarisationCode0
Improving Zero-Shot Multilingual Text Generation via Iterative Distillation—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