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TitleStatusHype
Make a Choice! Knowledge Base Question Answering with In-Context Learning—0
Query Rewriting for Retrieval-Augmented Large Language Models—0
Iterative Forward Tuning Boosts In-Context Learning in Language ModelsCode0
A quantitative study of NLP approaches to question difficulty estimationCode0
EMBRACE: Evaluation and Modifications for Boosting RACECode0
Contextual Response Interpretation for Automated Structured Interviews: A Case Study in Market Research—0
Who's the Best Detective? LLMs vs. MLs in Detecting Incoherent Fourth Grade Math Answers—0
Analyzing the Performance of ChatGPT in Cardiology and Vascular Pathologies—0
Prompt Engineering and Calibration for Zero-Shot Commonsense Reasoning—0
DISTO: Evaluating Textual Distractors for Multi-Choice Questions using Negative Sampling based Approach—0
FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domainCode0
Bridging the Language Gap: Knowledge Injected Multilingual Question Answering—0
GPT-4 to GPT-3.5: 'Hold My Scalpel' -- A Look at the Competency of OpenAI's GPT on the Plastic Surgery In-Service Training Exam—0
A Multiple Choices Reading Comprehension Corpus for Vietnamese Language EducationCode0
Automatic Generation of Multiple-Choice Questions—0
A Graph-Guided Reasoning Approach for Open-ended Commonsense Question Answering—0
Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses?—0
Generating multiple-choice questions for medical question answering with distractors and cue-masking—0
MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling—0
Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code—0
Empowering Sentence Encoders with Prompting and Label Retrieval for Zero-shot Text Classification—0
True Detective: A Deep Abductive Reasoning Benchmark Undoable for GPT-3 and Challenging for GPT-4—0
Utilizing Background Knowledge for Robust Reasoning over Traffic SituationsCode0
Which Shortcut Solution Do Question Answering Models Prefer to Learn?Code0
Question-type Identification for Academic Questions in Online Learning Platform—0
Unified Question Answering in SloveneCode0
World Knowledge in Multiple Choice Reading ComprehensionCode0
A Profit-Maximizing Strategy for Advertising on the e-Commerce PlatformsCode0
AGReE: A system for generating Automated Grammar Reading Exercises—0
Learning to Reuse Distractors to support Multiple Choice Question Generation in EducationCode0
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and ModelsCode0
AI-based Arabic Language and Speech Tutor—0
Two-Turn Debate Doesn't Help Humans Answer Hard Reading Comprehension Questions—0
Real-Time Automated Answer ScoringCode0
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes—0
A Weak Supervision Approach for Predicting Difficulty of Technical Interview Questions—0
Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at Each Single-Hop?Code0
Document-level Event Factuality Identification via Machine Reading Comprehension Frameworks with Transfer Learning—0
Using contradictions improves question answering systems—0
Multiple-Choice Question Generation: Towards an Automated Assessment Framework—0
Treatment Effects with Multidimensional Unobserved Heterogeneity: Identification of the Marginal Treatment Effect—0
Scheduling Algorithms for Federated Learning with Minimal Energy Consumption—0
Zero-shot Event Causality Identification with Question Answering—0
Language Models (Mostly) Know What They Know—0
Exposing the Limits of Video-Text Models through Contrast SetsCode0
From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams—0
CroaTPAS: A Survey-based Evaluation—0
PADDLe: a Platform to Identify Complex Words for Learners of French as a Foreign Language (FFL)—0
HRCA+: Advanced Multiple-choice Machine Reading Comprehension Method—0
Unsupervised multiple-choice question generation for out-of-domain Q&A fine-tuning—0
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