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Found 5 papers, 2 papers with code
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration
Despite efforts to expand the knowledge of large language models (LLMs), knowledge gaps -- missing or outdated information in LLMs -- might always persist given the evolving nature of knowledge.
Graph Neural Networks: Theory for Estimation with Application on Network Heterogeneity
This paper presents a novel application of graph neural networks for modeling and estimating network heterogeneity.
Resolving Knowledge Conflicts in Large Language Models
To this end, we introduce KNOWLEDGE CONFLICT, an evaluation framework for simulating contextual knowledge conflicts and quantitatively evaluating to what extent LLMs achieve these goals.
High-resolution Power Doppler Using Null Subtraction Imaging
Up to six-fold resolution improvement was demonstrated by the FWHM estimate and four-fold resolution improvement was demonstrated by the iso-frequency curve from the NSI-based PD microvessel images compared to microvessel images generated by traditional DAS-based beamforming.
RGB-T Semantic Segmentation with Location, Activation, and Sharpening
The highlight of LASNet is that we fully consider the characteristics of cross-modal features at different levels, and accordingly propose three specific modules for better segmentation.
Ranked #26 on
Thermal Image Segmentation
on MFN Dataset
