Lalitesh Morishetti

18 papers A* 2A 3B 3Misc 1Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
Is More Context Always Better? Examining LLM Reasoning Capability for Time Interval Prediction.
WWW
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
2026 J jnl
Is More Context Always Better? Examining LLM Reasoning Capability for Time Interval Prediction.
CoRR
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
2025 A conf
FUTURE: Flexible Unlearning for Tree Ensemble.
CIKM
Ziheng Chen, Jin Huang, Jiali Cheng, Yuchan Guo, Mengjie Wang, Lalitesh Morishetti, Kaushiki Nag, Hadi Amiri
2025 J jnl
FUTURE: Flexible Unlearning for Tree Ensemble.
CoRR
Ziheng Chen, Jin Huang, Jiali Cheng, Yuchan Guo, Mengjie Wang, Lalitesh Morishetti, Kaushiki Nag, Hadi Amiri
2025 A conf
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization.
RecSys
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
2025 J jnl
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization.
CoRR
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
2025 B conf
Personalized Product Search Ranking: A Multi-Task Learning Approach with Tabular and Non-Tabular Data.
IEEE Big Data
Lalitesh Morishetti, Abhay Kumar, Jonathan Scott, Kaushiki Nag, Gunjan Sharma, Shanu Vashishtha, Rahul Sridhar, Rohit Chatter, Kannan Achan
2025 J jnl
Personalized Product Search Ranking: A Multi-Task Learning Approach with Tabular and Non-Tabular Data.
CoRR
Lalitesh Morishetti, Abhay Kumar, Jonathan Scott, Kaushiki Nag, Gunjan Sharma, Shanu Vashishtha, Rahul Sridhar, Rohit Chatter, Kannan Achan
2025 — conf
Prompt-Tuning for Recommendation Unlearning.
CAI
Jin Huang, Zezhong Fan, Lalitesh Morishetti, Yuchan Guo, Kaushiki Nag, Hongshik Ahn, Ziheng Chen, Gabriele Tolomei
2024 A* conf
Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce Banners.
KDD
Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan
2024 J jnl
Chaining text-to-image and large language model: A novel approach for generating personalized e-commerce banners.
CoRR
Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan
2024 B conf
Improving Sequential Recommender Systems with Online and In-store User Behavior.
IEEE Big Data
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
2024 J jnl
Improving Sequential Recommender Systems with Online and In-store User Behavior.
CoRR
Luyi Ma, Aashika Padmanabhan, Anjana Ganesh, Shengwei Tang, Jiao Chen, Xiaohan Li, Lalitesh Morishetti, Kaushiki Nag, Malay Patel, Jason Cho, Sushant Kumar, Kannan Achan
2024 A conf
Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers.
ECAI
Shanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag, Kannan Achan
2024 J jnl
Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers.
CoRR
Shanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag, Kannan Achan
2023 J jnl
Seller-side Outcome Fairness in Online Marketplaces.
CoRR
Zikun Ye, Reza Yousefi Maragheh, Lalitesh Morishetti, Shanu Vashishtha, Jason Cho, Kaushiki Nag, Sushant Kumar, Kannan Achan
2022 B conf
Prospect-Net: Top-K Retrieval Problem Using Prospect Theory.
IEEE Big Data
Reza Yousefi Maragheh, Ramin Giahi, Jianpeng Xu, Lalitesh Morishetti, Shanu Vashishtha, Kaushiki Nag, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2019 Misc conf
Learning Disentangled Representation in Latent Stochastic Models: A Case Study with Image Captioning.
ICASSP
Nidhi Vyas, Sai Krishna Rallabandi, Lalitesh Morishetti, Eduard H. Hovy, Alan W. Black