SOTAVerified

Conditional Text Generation

The task of generating text according to some pre-specified conditioning (e.g. topic or sentiment or constraint)

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 67 papers

TitleStatusHype
The Dialog Must Go On: Improving Visual Dialog via Generative Self-TrainingCode1
BanglaNLG and BanglaT5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in BanglaCode1
AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language ModelingCode1
Regression Transformer: Concurrent sequence regression and generation for molecular language modelingCode1
On the Anatomy of Latent-variable Generative Models for Conditional Text Generation—0
Discourse-Aware Prompt Design for Text Generation—0
Discourse-Aware Soft Prompting for Text Generation—0
Realistic simulation of users for IT systems in cyber ranges—0
Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation—0
Exploring Conditional Text Generation for Aspect-Based Sentiment AnalysisCode0
Guided Generation of Cause and Effect—0
WikiGraphs: A Wikipedia Text - Knowledge Graph Paired DatasetCode0
Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text GenerationCode1
Is Everything in Order? A Simple Way to Order SentencesCode1
Unifying Vision-and-Language Tasks via Text GenerationCode1
Data-to-text Generation by Splicing Together Nearest NeighborsCode1
Lexically-constrained Text Generation through Commonsense Knowledge Extraction and Injection—0
Contrastive Learning with Adversarial Perturbations for Conditional Text GenerationCode1
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints—0
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models—0
On Long-Tailed Phenomena in Neural Machine TranslationCode1
Plug and Play Autoencoders for Conditional Text GenerationCode1
ETC-NLG: End-to-end Topic-Conditioned Natural Language GenerationCode0
Hiring Now: A Skill-Aware Multi-Attention Model for Job Posting Generation—0
Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-2-no-fine-tuningIgnored Constraint Error Rate28.2—Unverified
2GPT-2-fine-tuned-5-epochsIgnored Constraint Error Rate0.5—Unverified
3GPT-2-fine-tuned-20-epochsIgnored Constraint Error Rate0.3—Unverified
4GPT-2-with-filterIgnored Constraint Error Rate0—Unverified