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 21–30 of 67 papers

TitleStatusHype
SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation—0
MOPO: Multi-Objective Prompt Optimization for Affective Text Generation—0
Discrete Copula Diffusion—0
Evaluation of Language Models in the Medical Context Under Resource-Constrained SettingsCode0
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI ModelsCode0
IPAD: Iterative, Parallel, and Diffusion-based Network for Scene Text RecognitionCode0
Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation—0
Emotion-Conditioned Text Generation through Automatic Prompt Optimization—0
Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark RemedyCode0
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