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Found 3 papers, 1 papers with code
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
Unlike knowledge graphs, which are also used to evaluate LLMs, relational databases have integrity constraints that can be used to better construct complex in-depth questions and verify answers: (1) functional dependencies can be used to pinpoint critical keywords that an LLM must know to properly answer a given question containing certain attribute values; and (2) foreign key constraints can be used to join relations and construct multi-hop questions, which can be arbitrarily long and used to debug intermediate answers.
Personalized DP-SGD using Sampling Mechanisms
Personalized privacy becomes critical in deep learning for Trustworthy AI.
Deep Metric Learning Network using Proxies for Chromosome Classification in Karyotyping Test
To assist cytogeneticists in karyotyping, we introduce Proxy-ResNeXt-CBAM which is a metric learning based network using proxies with a convolutional block attention module (CBAM) designed for chromosome classification.
