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Found 8 papers, 5 papers with code
No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks
While the progression of Large Language Models (LLMs) has notably propelled financial analysis, their application has largely been confined to singular language realms, leaving untapped the potential of bilingual Chinese-English capacity.
Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning
Besides, extensive experiments on the two mainstream benchmark datasets, VG and Open-Image(v6), show the superiority of our proposed model to a number of competitive SGG models in terms of continuous learning and conventional settings.
Graph Entropy Minimization for Semi-supervised Node Classification
Node classifiers are required to comprehensively reduce prediction errors, training resources, and inference latency in the industry.
VQA and Visual Reasoning: An Overview of Recent Datasets, Methods and Challenges
Artificial Intelligence (AI) and its applications have sparked extraordinary interest in recent years.
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion
Knowledge graph embedding has been an active research topic for knowledge base completion (KGC), with progressive improvement from the initial TransE, TransH, RotatE et al to the current state-of-the-art QuatE.
Ranked #2 on
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on WN18
Deep Neural Network Based Relation Extraction: An Overview
One of the representations of knowledge is semantic relations between entities.
Self Attention Grid for Person Re-Identification
We apply a max filter operation to non-overlapping sub-regions on the high feature representation before element-wise multiplied with the output of the second branch.
Sparse Label Smoothing Regularization for Person Re-Identification
Finally, we assign a non-uniform label distribution to the generated samples and define a regularized loss function for training.
