Search Results for author: Junseok Seo

Found 3 papers, 1 papers with code

ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models

1 code implementation8 Mar 2024 Jio Oh, Soyeon Kim, Junseok Seo, Jindong Wang, Ruochen Xu, Xing Xie, Steven Euijong Whang

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.

Attribute Hallucination +2

Personalized DP-SGD using Sampling Mechanisms

no code implementations24 May 2023 Geon Heo, Junseok Seo, Steven Euijong Whang

Personalized privacy becomes critical in deep learning for Trustworthy AI.

Deep Metric Learning Network using Proxies for Chromosome Classification in Karyotyping Test

no code implementations MIDL 2019 Hwejin Jung, Bogyu Park, Seungwoo Hyun, Hanwoong Kim, Jinah Lee, Junseok Seo, Sunyoung Koo, Mina Lee

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.

Image Retrieval Metric Learning +1

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