Multiple-choice
118 papers with code • 1 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Multiple-choice
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Libraries
Use these libraries to find Multiple-choice models and implementations
SWAG
Probability words NLI
Most implemented papers
VQA: Visual Question Answering
Given an image and a natural language question about the image, the task is to provide an accurate natural language answer.
From Recognition to Cognition: Visual Commonsense Reasoning
rowanz/r2c
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CVPR 2019
While this task is easy for humans, it is tremendously difficult for today's vision systems, requiring higher-order cognition and commonsense reasoning about the world.
Revisiting Visual Question Answering Baselines
Cold-Winter/vqs
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Visual question answering (VQA) is an interesting learning setting for evaluating the abilities and shortcomings of current systems for image understanding.
Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering
nijianmo/arc-etrr-code
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NAACL 2019
In this paper we propose a retriever-reader model that learns to attend on essential terms during the question answering process.
Confident Multiple Choice Learning
Ensemble methods are arguably the most trustworthy techniques for boosting the performance of machine learning models.
A Simple Method for Commonsense Reasoning
Commonsense reasoning is a long-standing challenge for deep learning.
A Joint Sequence Fusion Model for Video Question Answering and Retrieval
antoine77340/howto100m
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ECCV 2018
We present an approach named JSFusion (Joint Sequence Fusion) that can measure semantic similarity between any pairs of multimodal sequence data (e. g. a video clip and a language sentence).
Generating Distractors for Reading Comprehension Questions from Real Examinations
Evan-Gao/Distractor-Generation-RACE
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We investigate the task of distractor generation for multiple choice reading comprehension questions from examinations.
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
jonathanherzig/commonsenseqa
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NAACL 2019
To investigate question answering with prior knowledge, we present CommonsenseQA: a challenging new dataset for commonsense question answering.
Abductive Commonsense Reasoning
allenai/abductive-commonsense-reasoning
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ICLR 2020
Abductive reasoning is inference to the most plausible explanation.
