Alert button
Picture for Evren Korpeoglu

Evren Korpeoglu

Alert button

LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction

Feb 29, 2024
Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Korpeoglu, Sushant Kumar, Kannan Achan

Figure 1 for LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction
Figure 2 for LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction
Figure 3 for LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction
Viaarxiv icon

LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing

Dec 26, 2023
Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Korpeoglu, Sushant Kumar, Kannan Achan

Viaarxiv icon

LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models

Dec 01, 2023
Reza Yousefi Maragheh, Chenhao Fang, Charan Chand Irugu, Parth Parikh, Jason Cho, Jianpeng Xu, Saranyan Sukumar, Malay Patel, Evren Korpeoglu, Sushant Kumar, Kannan Achan

Viaarxiv icon

GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation

Oct 26, 2023
Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason Cho, Evren Korpeoglu, Sushant Kumar, Kannan Achan

Figure 1 for GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation
Figure 2 for GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation
Figure 3 for GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation
Figure 4 for GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation
Viaarxiv icon

Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs

May 17, 2023
Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Korpeoglu, Sushant Kumar, Kannan Achan

Figure 1 for Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs
Figure 2 for Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs
Figure 3 for Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs
Figure 4 for Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs
Viaarxiv icon

Causal Structure Learning with Recommendation System

Oct 19, 2022
Shuyuan Xu, Da Xu, Evren Korpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang

Figure 1 for Causal Structure Learning with Recommendation System
Figure 2 for Causal Structure Learning with Recommendation System
Figure 3 for Causal Structure Learning with Recommendation System
Figure 4 for Causal Structure Learning with Recommendation System
Viaarxiv icon

NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation

Feb 11, 2022
Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Korpeoglu, Sushant Kumar, Kannan Achan

Figure 1 for NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation
Figure 2 for NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation
Figure 3 for NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation
Figure 4 for NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation
Viaarxiv icon

Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives

Oct 23, 2021
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan

Figure 1 for Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
Figure 2 for Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
Figure 3 for Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
Figure 4 for Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
Viaarxiv icon

Towards the D-Optimal Online Experiment Design for Recommender Selection

Oct 23, 2021
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan

Figure 1 for Towards the D-Optimal Online Experiment Design for Recommender Selection
Figure 2 for Towards the D-Optimal Online Experiment Design for Recommender Selection
Figure 3 for Towards the D-Optimal Online Experiment Design for Recommender Selection
Figure 4 for Towards the D-Optimal Online Experiment Design for Recommender Selection
Viaarxiv icon

A Temporal Kernel Approach for Deep Learning with Continuous-time Information

Mar 28, 2021
Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan

Figure 1 for A Temporal Kernel Approach for Deep Learning with Continuous-time Information
Figure 2 for A Temporal Kernel Approach for Deep Learning with Continuous-time Information
Figure 3 for A Temporal Kernel Approach for Deep Learning with Continuous-time Information
Figure 4 for A Temporal Kernel Approach for Deep Learning with Continuous-time Information
Viaarxiv icon