SOTAVerified

Conditional Text Generation

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

Papers

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Showing 31–40 of 67 papers

TitleStatusHype
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion—0
Discourse-Aware Soft Prompting for Text Generation—0
Discourse-Aware Prompt Design for Text Generation—0
Discrete Copula Diffusion—0
Emotion-Conditioned Text Generation through Automatic Prompt Optimization—0
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training—0
Guided Generation of Cause and Effect—0
Hiring Now: A Skill-Aware Multi-Attention Model for Job Posting Generation—0
Improved Variational Neural Machine Translation by Promoting Mutual Information—0
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance—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