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 1–25 of 67 papers

TitleStatusHype
CtrlDiff: Boosting Large Diffusion Language Models with Dynamic Block Prediction and Controllable Generation—0
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
TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model EncodingsCode1
LOCOST: State-Space Models for Long Document Abstractive SummarizationCode1
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI ModelsCode0
IPAD: Iterative, Parallel, and Diffusion-based Network for Scene Text RecognitionCode0
MEDITRON-70B: Scaling Medical Pretraining for Large Language ModelsCode4
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
Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute ManipulationCode1
Learning to Generate Better Than Your LLMCode1
DiffuDetox: A Mixed Diffusion Model for Text Detoxification—0
EEL: Efficiently Encoding Lattices for RerankingCode0
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion—0
GlyphDiffusion: Text Generation as Image Generation—0
VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and DatasetCode2
Input-length-shortening and text generation via attention values—0
GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and AugmentationCode1
Reward Gaming in Conditional Text Generation—0
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training—0
Demonstrating EMMA: Embodied MultiModal Agent for Language-guided Action Execution in 3D Simulated Environments—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