SOTAVerified

Multiple-choice

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 951–1000 of 1107 papers

TitleStatusHype
LiveQA: A Question Answering Dataset over Sports LiveCode0
ISAAQ -- Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention—0
Bridging Information-Seeking Human Gaze and Machine Reading Comprehension—0
GraphITE: Estimating Individual Effects of Graph-structured Treatments—0
Self-supervised pre-training and contrastive representation learning for multiple-choice video QA—0
Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA—0
Selective Particle Attention: Visual Feature-Based Attention in Deep Reinforcement Learning—0
DiverseNet: When One Right Answer is not Enough—0
Spending Money Wisely: Online Electronic Coupon Allocation based on Real-Time User Intent Detection—0
FAT ALBERT: Finding Answers in Large Texts using Semantic Similarity Attention Layer based on BERTCode0
An Experimental Study of Deep Neural Network Models for Vietnamese Multiple-Choice Reading Comprehension—0
Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering—0
Instructions and Guide for Diagnostic Questions: The NeurIPS 2020 Education Challenge—0
What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets—0
LMVE at SemEval-2020 Task 4: Commonsense Validation and Explanation using Pretraining Language Model—0
IIE-NLP-NUT at SemEval-2020 Task 4: Guiding PLM with Prompt Template Reconstruction Strategy for ComVE—0
Predicting the Difficulty and Response Time of Multiple Choice Questions Using Transfer Learning—0
Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering—0
Distractor Analysis and Selection for Multiple-Choice Cloze Questions for Second-Language Learners—0
An Audio-enriched BERT-based Framework for Spoken Multiple-choice Question Answering—0
CS-NLP team at SemEval-2020 Task 4: Evaluation of State-of-the-art NLP Deep Learning Architectures on Commonsense Reasoning Task—0
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data—0
Predicting Item Survival for Multiple Choice Questions in a High-Stakes Medical Exam—0
Improving the Production Efficiency and Well-formedness of Automatically-Generated Multiple-Choice Cloze Vocabulary Questions—0
Indirect Identification of Psychosocial Risks from Natural Language—0
Introducing a framework to assess newly created questions with Natural Language ProcessingCode0
Knowledge-Driven Distractor Generation for Cloze-style Multiple Choice Questions—0
DsMCL: Dual-Level Stochastic Multiple Choice Learning for Multi-Modal Trajectory Prediction—0
GenNet : Reading Comprehension with Multiple Choice Questions using Generation and Selection model—0
Online Joint Bid/Daily Budget Optimization of Internet Advertising Campaigns—0
Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension—0
Dialogue-Based Simulation For Cultural Awareness Training—0
Enhancing lexical-based approach with external knowledge for Vietnamese multiple-choice machine reading comprehension—0
Strategyproof Mean Estimation from Multiple-Choice Questions—0
DMCL: Distillation Multiple Choice Learning for Multimodal Action RecognitionCode0
WIQA: A dataset for ``What if...'' reasoning over procedural text—0
Social IQa: Commonsense Reasoning about Social Interactions—0
Evaluating Question Answering Evaluation—0
Answering questions by learning to rank - Learning to rank by answering questions—0
Sentence Embeddings for Russian NLUCode0
What does BERT Learn from Multiple-Choice Reading Comprehension Datasets?—0
QASC: A Dataset for Question Answering via Sentence CompositionCode0
Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning—0
MMM: Multi-stage Multi-task Learning for Multi-choice Reading ComprehensionCode0
Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach—0
How Additional Knowledge can Improve Natural Language Commonsense Question Answering?—0
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project—0
Answering questions by learning to rank -- Learning to rank by answering questions—0
Automatic Question Answering for Medical MCQs: Can It go Further than Information Retrieval?—0
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning—0
Show:102550
← PrevPage 20 of 23Next →

No leaderboard results yet.