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Ke Shu

4 papers

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papers

Publications (4)

cs.DB2019

Lauca: Generating Application-Oriented Synthetic Workloads

Yuming Li, Rong Zhang, Yuchen Li +3

The synthetic workload is essential and critical to the performance evaluation of database systems. When evaluating the database performance for a specific application, the similar…

cs.CL2020

RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System

Helena H. Lee, Ke Shu, Palakorn Achananuparp +4

Interests in the automatic generation of cooking recipes have been growing steadily over the past few years thanks to a large amount of online cooking recipes. We present RecipeGPT…

cs.CV2021

Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism

Hao Wang, Doyen Sahoo, Chenghao Liu +4

Food retrieval is an important task to perform analysis of food-related information, where we are interested in retrieving relevant information about the queried food item such as…

cs.CL2026

Detecting Latin in Historical Books with Large Language Models: A Multimodal Benchmark

Yu Wu, Ke Shu, Jonas Fischer +4

This paper presents a novel task of extracting low-resourced and noisy Latin fragments from mixed-language historical documents with varied layouts. We benchmark and evaluate the p…

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