Lalitesh Morishetti

According to our database, Lalitesh Morishetti authored at least 12 papers between 2019 and 2026.

Collaborative distances:

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

2026

CRAB: Codebook Rebalancing for Bias Mitigation in Generative Recommendation.

Zezhong Fan, Ziheng Chen, Luyi Ma, Jin Huang, Lalitesh Morishetti, Kaushiki Nag, Sushant Kumar, Kannan Achan

CoRR, April, 2026

Is More Context Always Better? Examining LLM Reasoning Capability for Time Interval Prediction.

Yanan Cao, Farnaz Fallahi, Murali Mohana Krishna Dandu, Lalitesh Morishetti, Kai Zhao, Luyi Ma, Sinduja Subramaniam, Jianpeng Xu, Evren Körpeoglu, Kaushiki Nag, Sushant Kumar, Kannan Achan

Proceedings of the ACM Web Conference 2026, 2026

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 H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Prompt-Tuning for Recommendation Unlearning.

Jin Huang, Zezhong Fan, Lalitesh Morishetti, Yuchan Guo, Kaushiki Nag, Hongshik Ahn, Ziheng Chen, Gabriele Tolomei

Proceedings of the IEEE Conference on Artificial Intelligence, 2025

FUTURE: Flexible Unlearning for Tree Ensemble.

Ziheng Chen, Jin Huang, Jiali Cheng, Yuchan Guo, Mengjie Wang, Lalitesh Morishetti, Kaushiki Nag, Hadi Amiri

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 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

Proceedings of the IEEE International Conference on Big Data, 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