118 papers with code • 1 benchmarks • 3 datasets

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Use these libraries to find Multiple-choice models and implementations

Most implemented papers

VQA: Visual Question Answering

ramprs/grad-cam ICCV 2015

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 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 27 Jun 2016

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 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

chhwang/cmcl ICML 2017

Ensemble methods are arguably the most trustworthy techniques for boosting the performance of machine learning models.

A Simple Method for Commonsense Reasoning

tensorflow/models 7 Jun 2018

Commonsense reasoning is a long-standing challenge for deep learning.

A Joint Sequence Fusion Model for Video Question Answering and Retrieval

antoine77340/howto100m 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 8 Sep 2018

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 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 ICLR 2020

Abductive reasoning is inference to the most plausible explanation.