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 11–20 of 43 papers

TitleStatusHype
LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and GenerationCode1
Improving Sequence-to-Sequence Pre-training via Sequence Span RewritingCode1
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained ModelsCode1
Generative Prompt Tuning for Relation ClassificationCode1
Enhancing Spoken Discourse Modeling in Language Models Using Gestural Cues—0
Building a Knowledge-Based Dialogue System with Text Infilling—0
Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models—0
BiTIIMT: A Bilingual Text-infilling Method for Interactive Machine Translation—0
Insertion Language Models: Sequence Generation with Arbitrary-Position Insertions—0
Decoding As Dynamic Programming For Recurrent Autoregressive Models—0
Show:102550
← PrevPage 2 of 5Next →

No leaderboard results yet.