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TitleStatusHype
MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway Encoding—0
A Method for Building a Commonsense Inference Dataset based on Basic Events—0
Unveiling Cultural Blind Spots: Analyzing the Limitations of mLLMs in Procedural Text Comprehension—0
Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning—0
AmazUtah_NLP at SemEval-2024 Task 9: A MultiChoice Question Answering System for Commonsense Defying Reasoning—0
UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces—0
AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models—0
Meta Sequence Learning for Generating Adequate Question-Answer Pairs—0
MHQA: A Diverse, Knowledge Intensive Mental Health Question Answering Challenge for Language Models—0
MIBench: Evaluating Multimodal Large Language Models over Multiple Images—0
Use neural networks to recognize students' handwritten letters and incorrect symbols—0
Using contradictions improves question answering systems—0
Using Large Language Models for Automated Grading of Student Writing about Science—0
Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification—0
MINI-LLM: Memory-Efficient Structured Pruning for Large Language Models—0
Mitigating Bias for Question Answering Models by Tracking Bias Influence—0
Mitigating Selection Bias with Node Pruning and Auxiliary Options—0
MixQG: Neural Question Generation with Mixed Answer Types—0
ZeroTuning: Unlocking the Initial Token's Power to Enhance Large Language Models Without Training—0
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education—0
A Joint-Reasoning based Disease Q&A System—0
AI-based Arabic Language and Speech Tutor—0
MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence—0
VCEval: Rethinking What is a Good Educational Video and How to Automatically Evaluate It—0
Modeling of Item-Difficulty for Ontology-based MCQs—0
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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