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Conditional Text Generation
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The task of generating text according to some pre-specified conditioning (e.g. topic or sentiment or constraint)
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation
MOPO: Multi-Objective Prompt Optimization for Affective Text Generation
Discrete Copula Diffusion
Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings
TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings
LOCOST: State-Space Models for Long Document Abstractive Summarization
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
IPAD: Iterative, Parallel, and Diffusion-based Network for Scene Text Recognition
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models
Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation
Emotion-Conditioned Text Generation through Automatic Prompt Optimization
Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy
Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation
Most Language Models can be Poets too: An AI Writing Assistant and Constrained Text Generation Studio
Learning to Generate Better Than Your LLM
DiffuDetox: A Mixed Diffusion Model for Text Detoxification
EEL: Efficiently Encoding Lattices for Reranking
SciMON: Scientific Inspiration Machines Optimized for Novelty
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion
GlyphDiffusion: Text Generation as Image Generation
VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset
Input-length-shortening and text generation via attention values
GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation
Reward Gaming in Conditional Text Generation
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training
Multimedia Generative Script Learning for Task Planning
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training
BanglaNLG and BanglaT5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla
AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling
Regression Transformer: Concurrent sequence regression and generation for molecular language modeling
Discourse-Aware Soft Prompting for Text Generation
Realistic simulation of users for IT systems in cyber ranges
Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation
Exploring Conditional Text Generation for Aspect-Based Sentiment Analysis
Guided Generation of Cause and Effect
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.