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Found 4 papers, 3 papers with code
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
In this survey, we aim to provide a comprehensive understanding of graph reduction methods, including graph sparsification, graph coarsening, and graph condensation.
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems
This raises a fundamental question in advancing the modeling of environmental ecosystems: how to build a general framework for modeling the complex relationships amongst various environmental data over space and time?
Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification
Large Language Models (LLMs) have demonstrated remarkable proficiency in generating fluent text.
General Debiasing for Multimodal Sentiment Analysis
To this end, we propose a general debiasing framework based on Inverse Probability Weighting (IPW), which adaptively assigns small weights to the samples with larger bias (i. e., the severer spurious correlations).
