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2020 – today
- 2024
[j1]Jiao Chen, Luyi Ma, Xiaohan Li, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Relation labeling in product knowledge graphs with large language models for e-commerce. Int. J. Mach. Learn. Cybern. 15(12): 5725-5743 (2024)- [c6]Shanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag, Kannan Achan:
Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers. ECAI 2024: 4734-4740 - [c5]Shanu Vashishtha
, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan:
Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce Banners. KDD 2024: 5825-5835 - [c4]Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. SIGIR 2024: 2910-2914 - [c3]Zezhong Fan, Xiaohan Li, Kaushiki Nag, Chenhao Fang, Topojoy Biswas, Jianpeng Xu, Kannan Achan:
Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding. WWW (Companion Volume) 2024: 1530-1537 - [i8]Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. CoRR abs/2403.00863 (2024) - [i7]Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan:
Chaining text-to-image and large language model: A novel approach for generating personalized e-commerce banners. CoRR abs/2403.05578 (2024) - [i6]Zezhong Fan, Xiaohan Li, Chenhao Fang, Topojoy Biswas, Kaushiki Nag, Jianpeng Xu, Kannan Achan:
Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding. CoRR abs/2404.11589 (2024) - [i5]Ziheng Chen, Jia Wang, Jun Zhuang, Abbavaram Gowtham Reddy, Fabrizio Silvestri, Jin Huang, Kaushiki Nag, Kun Kuang, Xin Ning, Gabriele Tolomei:
Debiasing Machine Unlearning with Counterfactual Examples. CoRR abs/2404.15760 (2024) - [i4]Shanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag, Kannan Achan:
Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers. CoRR abs/2409.07627 (2024) - 2023
- [i3]Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs. CoRR abs/2305.09858 (2023) - [i2]Zikun Ye, Reza Yousefi Maragheh, Lalitesh Morishetti, Shanu Vashishtha, Jason Cho, Kaushiki Nag, Sushant Kumar, Kannan Achan:
Seller-side Outcome Fairness in Online Marketplaces. CoRR abs/2312.03253 (2023) - 2022
- [c2]Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen D. Guo, Philip S. Yu, Kannan Achan:
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. IEEE Big Data 2022: 616-625 - [c1]Reza Yousefi Maragheh, Ramin Giahi, Jianpeng Xu, Lalitesh Morishetti, Shanu Vashishtha, Kaushiki Nag, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Prospect-Net: Top-K Retrieval Problem Using Prospect Theory. IEEE Big Data 2022: 3945-3951 - [i1]Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen D. Guo, Philip S. Yu, Kannan Achan:
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders. CoRR abs/2211.09072 (2022)
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