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Text Infilling
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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.
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Flexible-length Text Infilling for Discrete Diffusion Models
LaViDa: A Large Diffusion Language Model for Multimodal Understanding
Insertion Language Models: Sequence Generation with Arbitrary-Position Insertions
Enhancing Spoken Discourse Modeling in Language Models Using Gestural Cues
TrajGPT: Controlled Synthetic Trajectory Generation Using a Multitask Transformer-Based Spatiotemporal Model
Empowering Character-level Text Infilling by Eliminating Sub-Tokens
Towards Probabilistically-Sound Beam Search with Masked Language Models
A Benchmark for Text Expansion: Datasets, Metrics, and Baselines
A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment Analysis
Having Beer after Prayer? Measuring Cultural Bias in Large Language Models
Sequence-to-Sequence Pre-training with Unified Modality Masking for Visual Document Understanding
MAGVLT: Masked Generative Vision-and-Language Transformer
Model-tuning Via Prompts Makes NLP Models Adversarially Robust
Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models
Generative Prompt Tuning for Relation Classification
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks
Reprogramming Pretrained Language Models for Antibody Sequence Infilling
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models
On the Role of Bidirectionality in Language Model Pre-Training
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation
Language modeling via stochastic processes
Conformal prediction for text infilling and part-of-speech prediction
Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet
LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generation
Nutribullets Hybrid: Multi-document Health Summarization
InFillmore: Frame-Guided Language Generation with Bidirectional Context
Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning
Enabling Language Models to Fill in the Blanks
Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange
"Mask and Infill" : Applying Masked Language Model to Sentiment Transfer
TIGS: An Inference Algorithm for Text Infilling with Gradient Search
Text Infilling
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