multiple-choice question

Every Answer Matters: Evaluating Commonsense with Probabilistic Measures ACL 2024 EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models ACL 2024 Findings from the First Shared Task on Automated Prediction of Difficulty and Response Time for Multiple-Choice Questions NAACL 2024 HANS, are you clever? Clever Hans Effect Analysis of Neural Systems NAACL 2024 Improving Automated Distractor Generation for Math Multiple-choice Questions with Overgenerate-and-rank NAACL 2024 Is Your Large Language Model Knowledgeable or a Choices-Only Cheater? ACL 2024 Large Language Models Are Not Robust Multiple Choice Selectors ICLR 2024 Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions NAACL 2024 Marathon: A Race Through the Realm of Long Context with Large Language Models ACL 2024 “My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models ACL 2024 Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning EMNLP 2024 SafetyBench: Evaluating the Safety of Large Language Models ACL 2024 ToMBench: Benchmarking Theory of Mind in Large Language Models ACL 2024 Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset NeurIPS 2023 Distractor Generation based on Text2Text Language Models with Pseudo Kullback-Leibler Divergence Regulation ACL 2023 Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy EMNLP 2023 DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions AAAI 2022 Evaluating the Knowledge Dependency of Questions EMNLP 2022 ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data ACL 2021 Knowledge-Driven Distractor Generation for Cloze-Style Multiple Choice Questions AAAI 2021 On the application of Transformers for estimating the difficulty of Multiple-Choice Questions from text EACL 2021 When Retriever-Reader Meets Scenario-Based Multiple-Choice Questions EMNLP 2021 A BERT-based Distractor Generation Scheme with Multi-tasking and Negative Answer Training Strategies. EMNLP 2020 A Method for Building a Commonsense Inference Dataset based on Basic Events EMNLP 2020 Automatic Distractor Generation for Multiple Choice Questions in Standard Tests COLING 2020