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TitleStatusHype
Anchored Answers: Unravelling Positional Bias in GPT-2's Multiple-Choice QuestionsCode0
WorldQA: Multimodal World Knowledge in Videos through Long-Chain Reasoning—0
Math Multiple Choice Question Generation via Human-Large Language Model Collaboration—0
FoundaBench: Evaluating Chinese Fundamental Knowledge Capabilities of Large Language Models—0
From Multiple-Choice to Extractive QA: A Case Study for English and ArabicCode0
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites—0
TAXI: Evaluating Categorical Knowledge Editing for Language ModelsCode0
AI and Machine Learning for Next Generation Science Assessments—0
UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice QuestionsCode0
Improving Automated Distractor Generation for Math Multiple-choice Questions with Overgenerate-and-rank—0
Is There No Such Thing as a Bad Question? H4R: HalluciBot For Ratiocination, Rewriting, Ranking, and Routing—0
BLINK: Multimodal Large Language Models Can See but Not Perceive—0
ViLLM-Eval: A Comprehensive Evaluation Suite for Vietnamese Large Language Models—0
Question Difficulty Ranking for Multiple-Choice Reading Comprehension—0
Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You ThinkCode0
Automatic Generation and Evaluation of Reading Comprehension Test Items with Large Language ModelsCode0
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering—0
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language ModelsCode0
Cleared for Takeoff? Compositional & Conditional Reasoning may be the Achilles Heel to (Flight-Booking) Language Agents—0
NLP at UC Santa Cruz at SemEval-2024 Task 5: Legal Answer Validation using Few-Shot Multi-Choice QACode0
CSEPrompts: A Benchmark of Introductory Computer Science PromptsCode0
Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language ModelsCode0
AILS-NTUA at SemEval-2024 Task 9: Cracking Brain Teasers: Transformer Models for Lateral Thinking PuzzlesCode0
Can multiple-choice questions really be useful in detecting the abilities of LLMs?Code0
Pragmatic Competence Evaluation of Large Language Models for the Korean LanguageCode0
LHMKE: A Large-scale Holistic Multi-subject Knowledge Evaluation Benchmark for Chinese Large Language Models—0
Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering—0
Few-Shot Image Classification and Segmentation as Visual Question Answering Using Vision-Language Models—0
EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language ModelsCode0
Towards Diverse Perspective Learning with Selection over Multiple Temporal PoolingsCode0
Exploring the Comprehension of ChatGPT in Traditional Chinese Medicine Knowledge—0
AraTrust: An Evaluation of Trustworthiness for LLMs in Arabic—0
Rethinking Generative Large Language Model Evaluation for Semantic Comprehension—0
MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway Encoding—0
Automated Generation of Multiple-Choice Cloze Questions for Assessing English Vocabulary Using GPT-turbo 3.5—0
An Improved Traditional Chinese Evaluation Suite for Foundation Model—0
KorMedMCQA: Multi-Choice Question Answering Benchmark for Korean Healthcare Professional Licensing Examinations—0
Controlling Cloze-test Question Item Difficulty with PLM-based Surrogate Models for IRT Assessment—0
Predictions from language models for multiple-choice tasks are not robust under variation of scoring methods—0
Unsupervised multiple choices question answering via universal corpus—0
Biomedical Entity Linking as Multiple Choice Question AnsweringCode0
"My Answer is C": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language ModelsCode0
Identifying Multiple Personalities in Large Language Models with External Evaluation—0
Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models—0
Ranking Large Language Models without Ground Truth—0
KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge—0
Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&ACode0
Digital Comprehensibility Assessment of Simplified Texts among Persons with Intellectual Disabilities—0
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?Code0
Stick to your Role! Stability of Personal Values Expressed in Large Language Models—0
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