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Showing 726–750 of 1107 papers

TitleStatusHype
SecQA: A Concise Question-Answering Dataset for Evaluating Large Language Models in Computer SecurityCode0
Towards a Unified Multimodal Reasoning FrameworkCode0
Perception Test 2023: A Summary of the First Challenge And Outcome—0
BloomVQA: Assessing Hierarchical Multi-modal Comprehension—0
Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output DistributionsCode0
Self-Evaluation Improves Selective Generation in Large Language Models—0
A Foundational Multimodal Vision Language AI Assistant for Human Pathology—0
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education—0
Unleashing the Potential of Large Language Model: Zero-shot VQA for Flood Disaster Scenario—0
Explanatory Argument Extraction of Correct Answers in Resident Medical ExamsCode0
Evaluating the Rationale Understanding of Critical Reasoning in Logical Reading Comprehension—0
CLOMO: Counterfactual Logical Modification with Large Language ModelsCode0
ConceptPsy:A Benchmark Suite with Conceptual Comprehensiveness in Psychology—0
Investigating Data Contamination in Modern Benchmarks for Large Language Models—0
Downstream Trade-offs of a Family of Text WatermarksCode0
Evaluating LLMs on Document-Based QA: Exact Answer Selection and Numerical Extraction using Cogtale dataset—0
It's Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination ReasoningCode0
Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks—0
Assessing Distractors in Multiple-Choice Tests—0
Evaluating multiple large language models in pediatric ophthalmology—0
Evaluating the Potential of Leading Large Language Models in Reasoning Biology Questions—0
More Robots are Coming: Large Multimodal Models (ChatGPT) can Solve Visually Diverse Images of Parsons Problems—0
CASE: Commonsense-Augmented Score with an Expanded Answer SpaceCode0
DeSIQ: Towards an Unbiased, Challenging Benchmark for Social Intelligence Understanding—0
POE: Process of Elimination for Multiple Choice ReasoningCode0
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