Sentence Completion
45 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Sentence Completion
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Libraries
Use these libraries to find Sentence Completion models and implementations
HellaSwag
xP3
Latest papers with no code
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
In this paper, we develop a novel semi-parametric language model architecture, Knowledge-in-Context (KiC), which empowers a parametric text-to-text language model with a knowledge-rich external memory.
Effidit: Your AI Writing Assistant
In Effidit, we significantly expand the capacities of a writing assistant by providing functions in five categories: text completion, error checking, text polishing, keywords to sentences (K2S), and cloud input methods (cloud IME).
Efficient Language Modeling with Sparse all-MLP
All-MLP architectures have attracted increasing interest as an alternative to attention-based models.
SeqPATE: Differentially Private Text Generation via Knowledge Distillation
Differentially private (DP) learning algorithms provide guarantees on identifying the existence of a training sample from model outputs.
Language Models as a Knowledge Source for Cognitive Agents
We introduce language models and the various tasks to which they have been applied and then review methods of knowledge extraction from language models.
Differentially Private n-gram Extraction
We revisit the problem of $n$-gram extraction in the differential privacy setting.
Learning Better Sentence Representation with Syntax Information
However, how to add external knowledge to further improve the semantic modeling capability of model is worth probing.
A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks
This paper initiates a mathematical study of this phenomenon for the downstream task of text classification by considering the following questions: (1) What is the intuitive connection between the pretraining task of next word prediction and text classification?
Defining and Evaluating Fair Natural Language Generation
Our work focuses on the biases that emerge in the natural language generation (NLG) task of sentence completion.
iCap: Interactive Image Captioning with Predictive Text
In this paper we study a brand new topic of interactive image captioning with human in the loop.
