Lalitesh Morishetti

According to our database, Lalitesh Morishetti authored at least 8 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Personalized Product Search Ranking: A Multi-Task Learning Approach with Tabular and Non-Tabular Data.

Lalitesh Morishetti, Abhay Kumar, Jonathan Scott, Kaushiki Nag, Gunjan Sharma, Shanu Vashishtha, Rahul Sridhar, Rohit Chatter, Kannan Achan

CoRR, August, 2025

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization.

Luyi Ma, Wanjia Zhang, Kai Zhao, Abhishek Kulkarni, Lalitesh Morishetti, Anjana Ganesh, Ashish Ranjan, Aashika Padmanabhan, Jianpeng Xu, Jason Cho, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan

CoRR, July, 2025

2024

Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce Banners.

Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers.

Shanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag, Kannan Achan

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Improving Sequential Recommender Systems with Online and In-store User Behavior.

Luyi Ma, Aashika Padmanabhan, Anjana Ganesh, Shengwei Tang, Jiao Chen, Xiaohan Li, Lalitesh Morishetti, Kaushiki Nag, Malay Patel, Jason H. D. Cho, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Seller-side Outcome Fairness in Online Marketplaces.

Zikun Ye, Reza Yousefi Maragheh, Lalitesh Morishetti, Shanu Vashishtha, Jason Cho, Kaushiki Nag, Sushant Kumar, Kannan Achan

CoRR, 2023

2022

Prospect-Net: Top-K Retrieval Problem Using Prospect Theory.

Reza Yousefi Maragheh, Ramin Giahi, Jianpeng Xu, Lalitesh Morishetti, Shanu Vashishtha, Kaushiki Nag, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 2022

2019

Learning Disentangled Representation in Latent Stochastic Models: A Case Study with Image Captioning.

Nidhi Vyas, Sai Krishna Rallabandi, Lalitesh Morishetti, Eduard H. Hovy, Alan W. Black

Proceedings of the IEEE International Conference on Acoustics, 2019