SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 21–30 of 43 papers

TitleStatusHype
Building a Knowledge-Based Dialogue System with Text Infilling—0
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained ModelsCode1
On the Role of Bidirectionality in Language Model Pre-Training—0
BiTIIMT: A Bilingual Text-infilling Method for Interactive Machine Translation—0
Predicting scalar diversity with context-driven uncertainty over alternatives—0
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text GenerationCode1
Language modeling via stochastic processesCode1
Generative Prompt Tuning for Relation Classification—0
Conformal prediction for text infilling and part-of-speech predictionCode0
Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNetCode0
Show:102550
← PrevPage 3 of 5Next →

No leaderboard results yet.