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TitleStatusHype
Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework—0
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data—0
Beyond VQA: Generating Multi-word Answer and Rationale to Visual Questions—0
Generating Adequate Distractors for Multiple-Choice Questions—0
Generating Correct Answers for Progressive Matrices Intelligence Tests—0
Generating Diagnostic Multiple Choice Comprehension Cloze Questions—0
LLMs May Perform MCQA by Selecting the Least Incorrect Option—0
Generating multiple-choice questions for medical question answering with distractors and cue-masking—0
ELiRF-UPV at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge—0
Generating Questions and Multiple-Choice Answers using Semantic Analysis of Texts—0
Answer, Assemble, Ace: Understanding How Transformers Answer Multiple Choice Questions—0
Genome-Bench: A Scientific Reasoning Benchmark from Real-World Expert Discussions—0
ANPMI: Assessing the True Comprehension Capabilities of LLMs for Multiple Choice Questions—0
A Graph-Guided Reasoning Approach for Open-ended Commonsense Question Answering—0
Evaluating Clinical Competencies of Large Language Models with a General Practice Benchmark—0
Eliciting Categorical Data for Optimal Aggregation—0
GPT-4o System Card—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
Eigen Values Features for the Classification of Brain Signals corresponding to 2D and 3D Educational Contents—0
Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing—0
CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models—0
GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering—0
GraphITE: Estimating Individual Effects of Graph-structured Treatments—0
Graph-Structured Representations for Visual Question Answering—0
IllusionBench: A Large-scale and Comprehensive Benchmark for Visual Illusion Understanding in Vision-Language Models—0
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