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TitleStatusHype
Automatic Generation of Distractors for Fill-in-the-Blank Exercises with Round-Trip Neural Machine Translation0
Answer-level Calibration for Free-form Multiple Choice Question AnsweringCode0
Clozer”:" Adaptable Data Augmentation for Cloze-style Reading Comprehension0
Answer Uncertainty and Unanswerability in Multiple-Choice Machine Reading Comprehension0
Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions0
No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment0
Clozer: Adaptable Data Augmentation for Cloze-style Reading Comprehension0
Evaluating Prompts Across Multiple Choice Tasks In a Zero-Shot SettingCode0
A Theoretically Grounded Benchmark for Evaluating Machine Commonsense0
What Makes Reading Comprehension Questions Difficult?Code0
A New Era: Intelligent Tutoring Systems Will Transform Online Learning for Millions0
Aryl: An Elastic Cluster Scheduler for Deep Learning0
NEWSKVQA: Knowledge-Aware News Video Question Answering0
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 Comprehension0
An MRC Framework for Semantic Role Labeling0
MixQG: Neural Question Generation with Mixed Answer Types0
Exposing the Limits of Video-Text Models through Contrast Sets0
Context-guided Triple Matching for Multiple Choice Question Answering0
SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search0
Answering Chinese Elementary School Social Studies Multiple Choice Questions0
DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions0
What Makes Machine Reading Comprehension Questions Difficult? Investigating Variation in Passage Sources and Question Types0
Unsupervised multiple-choice question generation for out-of-domain Q\&A fine-tuning0
Fill-in-the-Blank: A Challenging Video Understanding Evaluation Framework0
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