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Text Infilling

Text Infilling is the task of predicting missing spans of text which are consistent with the preceding and subsequent text. Text Infilling is a generalization of the cloze task—cloze historically refers to infilling individual words.

Source: Enabling Language Models to Fill in the Blanks

Papers

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Showing 1–25 of 43 papers

TitleStatusHype
LaViDa: A Large Diffusion Language Model for Multimodal UnderstandingCode3
The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMsCode2
Reprogramming Pretrained Language Models for Antibody Sequence InfillingCode1
MAGVLT: Masked Generative Vision-and-Language TransformerCode1
Enabling Language Models to Fill in the BlanksCode1
A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment AnalysisCode1
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text GenerationCode1
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained ModelsCode1
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense ReasoningCode1
LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and GenerationCode1
Generative Prompt Tuning for Relation ClassificationCode1
Having Beer after Prayer? Measuring Cultural Bias in Large Language ModelsCode1
Improving Sequence-to-Sequence Pre-training via Sequence Span RewritingCode1
Language modeling via stochastic processesCode1
Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNetCode0
Model-tuning Via Prompts Makes NLP Models Adversarially RobustCode0
Text InfillingCode0
Nutribullets Hybrid: Multi-document Health SummarizationCode0
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information NetworksCode0
TrajGPT: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-Based Spatiotemporal ModelCode0
Towards Probabilistically-Sound Beam Search with Masked Language ModelsCode0
Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text ExchangeCode0
Empowering Character-level Text Infilling by Eliminating Sub-TokensCode0
Conformal prediction for text infilling and part-of-speech predictionCode0
TIGS: An Inference Algorithm for Text Infilling with Gradient SearchCode0
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