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 1–50 of 67 papers

TitleStatusHype
MEDITRON-70B: Scaling Medical Pretraining for Large Language ModelsCode4
VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and DatasetCode2
GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and AugmentationCode1
Contrastive Learning with Adversarial Perturbations for Conditional Text GenerationCode1
AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language ModelingCode1
Unifying Vision-and-Language Tasks via Text GenerationCode1
ToTTo: A Controlled Table-To-Text Generation DatasetCode1
Is Everything in Order? A Simple Way to Order SentencesCode1
The Dialog Must Go On: Improving Visual Dialog via Generative Self-TrainingCode1
Learning to Generate Better Than Your LLMCode1
TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model EncodingsCode1
LOCOST: State-Space Models for Long Document Abstractive SummarizationCode1
Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text GenerationCode1
BanglaNLG and BanglaT5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in BanglaCode1
On Long-Tailed Phenomena in Neural Machine TranslationCode1
Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute ManipulationCode1
Data-to-text Generation by Splicing Together Nearest NeighborsCode1
Plug and Play Autoencoders for Conditional Text GenerationCode1
Regression Transformer: Concurrent sequence regression and generation for molecular language modelingCode1
Lexically-constrained Text Generation through Commonsense Knowledge Extraction and Injection—0
MOPO: Multi-Objective Prompt Optimization for Affective Text Generation—0
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints—0
On the Anatomy of Latent-variable Generative Models for Conditional Text Generation—0
Demonstrating EMMA: Embodied MultiModal Agent for Language-guided Action Execution in 3D Simulated Environments—0
Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation—0
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection—0
Conditional Variational Autoencoder for Neural Machine Translation—0
Conditional Text Generation for Harmonious Human-Machine Interaction—0
CtrlDiff: Boosting Large Diffusion Language Models with Dynamic Block Prediction and Controllable Generation—0
DiffuDetox: A Mixed Diffusion Model for Text Detoxification—0
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
Input-length-shortening and text generation via attention values—0
Learning Implicit Text Generation via Feature Matching—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
GlyphDiffusion: Text Generation as Image Generation—0
Reward Gaming in Conditional Text Generation—0
SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text 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