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
Generating Text through Adversarial Training using Skip-Thought VectorsCode0
IPAD: Iterative, Parallel, and Diffusion-based Network for Scene Text RecognitionCode0
Pragmatically Informative Text GenerationCode0
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-EncodersCode0
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI ModelsCode0
Token Manipulation Generative Adversarial Network for Text GenerationCode0
Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark RemedyCode0
Learning Implicit Text Generation via Feature Matching—0
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training—0
Lexically-constrained Text Generation through Commonsense Knowledge Extraction and Injection—0
Emotion-Conditioned Text Generation through Automatic Prompt Optimization—0
Discrete Copula Diffusion—0
MOPO: Multi-Objective Prompt Optimization for Affective Text Generation—0
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints—0
Discourse-Aware Prompt Design for Text Generation—0
On the Anatomy of Latent-variable Generative Models for Conditional Text Generation—0
Discourse-Aware Soft Prompting for Text Generation—0
Transfer Reward Learning for Policy Gradient-Based Text Generation—0
Conditional Variational Autoencoder for Neural Machine Translation—0
Pretraining for Conditional Generation with Pseudo Self Attention—0
Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation—0
Realistic simulation of users for IT systems in cyber ranges—0
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models—0
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion—0
DiffuDetox: A Mixed Diffusion Model for Text Detoxification—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