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Showing 576–600 of 1107 papers

TitleStatusHype
Monty Hall and Optimized Conformal Prediction to Improve Decision-Making with LLMs—0
More Robots are Coming: Large Multimodal Models (ChatGPT) can Solve Visually Diverse Images of Parsons Problems—0
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering—0
Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering—0
AI and Machine Learning for Next Generation Science Assessments—0
AGReE: A system for generating Automated Grammar Reading Exercises—0
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models—0
MR. Judge: Multimodal Reasoner as a Judge—0
VELOCITI: Benchmarking Video-Language Compositional Reasoning with Strict Entailment—0
MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling—0
Multilingual CALL Framework for Automatic Language Exercise Generation from Free Text—0
Multi-Modal Retrieval Augmentation for Open-Ended and Knowledge-Intensive Video Question Answering—0
Multiple Choice Learning for Efficient Speech Separation with Many Speakers—0
Multiple Choice Learning: Learning to Produce Multiple Structured Outputs—0
Multiple Choice Question Corpus Analysis for Distractor Characterization—0
Multiple-Choice Question Generation: Towards an Automated Assessment Framework—0
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights—0
Multiple Choice Question Generation Utilizing An Ontology—0
Versatile Multiple Choice Learning and Its Application to Vision Computing—0
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong—0
Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering—0
Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension—0
A Graph-Guided Reasoning Approach for Open-ended Commonsense Question Answering—0
MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts—0
My Answer Is NOT 'Fair': Mitigating Social Bias in Vision-Language Models via Fair and Biased Residuals—0
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