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TitleStatusHype
Automatic Generation of Distractors for Fill-in-the-Blank Exercises with Round-Trip Neural Machine Translation—0
Answer-level Calibration for Free-form Multiple Choice Question AnsweringCode0
Clozer”:" Adaptable Data Augmentation for Cloze-style Reading Comprehension—0
Answer Uncertainty and Unanswerability in Multiple-Choice Machine Reading Comprehension—0
Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions—0
No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment—0
Clozer: Adaptable Data Augmentation for Cloze-style Reading Comprehension—0
Evaluating Prompts Across Multiple Choice Tasks In a Zero-Shot SettingCode0
A Theoretically Grounded Benchmark for Evaluating Machine Commonsense—0
What Makes Reading Comprehension Questions Difficult?Code0
A New Era: Intelligent Tutoring Systems Will Transform Online Learning for Millions—0
Aryl: An Elastic Cluster Scheduler for Deep Learning—0
NEWSKVQA: Knowledge-Aware News Video Question Answering—0
Disaggregating Hops: Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at each Hop?—0
Answer Uncertainty and Unanswerability in Multiple-Choice Machine Reading Comprehension—0
An MRC Framework for Semantic Role Labeling—0
MixQG: Neural Question Generation with Mixed Answer Types—0
Exposing the Limits of Video-Text Models through Contrast Sets—0
Context-guided Triple Matching for Multiple Choice Question Answering—0
SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search—0
Answering Chinese Elementary School Social Studies Multiple Choice Questions—0
DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions—0
What Makes Machine Reading Comprehension Questions Difficult? Investigating Variation in Passage Sources and Question Types—0
Unsupervised multiple-choice question generation for out-of-domain Q\&A fine-tuning—0
Fill-in-the-Blank: A Challenging Video Understanding Evaluation Framework—0
An AI-based Solution for Enhancing Delivery of Digital Learning for Future Teachers—0
MIRTT: Learning Multimodal Interaction Representations from Trilinear Transformers for Visual Question AnsweringCode0
Neural Natural Logic Inference for Interpretable Question AnsweringCode0
Narrative Embedding: Re-Contextualization Through Attention—0
A Semantic Feature-Wise Transformation Relation Network for Automatic Short Answer Grading—0
GANDALF: a General Character Name Description Dataset for Long Fiction—0
Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations—0
Template Filling for Controllable Commonsense Reasoning—0
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples—0
Ranking Facts for Explaining Answers to Elementary Science Questions—0
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization—0
Transliteration: A Simple Technique For Improving Multilingual Language Modeling—0
Analysing the Effect of Masking Length Distribution of MLM: An Evaluation Framework and Case Study on Chinese MRC Datasets—0
Context-guided Triple Matching for Multiple Choice Question Answering—0
BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles—0
An Add-On for Empowering Google Forms to be an Automatic Question Generator in Online Assessments—0
What Makes Reading Comprehension Questions Difficult? Investigating Variation in Passage Sources and Question Types—0
An Algorithm for Generating Gap-Fill Multiple Choice Questions of an Expert System—0
Paragraph Similarity Matches for Generating Multiple-choice Test Items—0
When Retriever-Reader Meets Scenario-Based Multiple-Choice QuestionsCode0
MeDiaQA: A Question Answering Dataset on Medical Dialogues—0
E-Commerce Promotions Personalization via Online Multiple-Choice Knapsack with Uplift Modeling—0
Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering—0
BERT-based distractor generation for Swedish reading comprehension questions using a small-scale datasetCode0
Auxiliary Class Based Multiple Choice Learning—0
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