Sai Sree Harsha

15 papers A* 1A 1Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
PAGER: Proactive Monitoring Agent for Enterprise AI Assistant.
AAAI
Sujan Dutta, Junior Francisco Garcia Ayala, Pranav Pujar, Sai Sree Harsha, Dan Luo, Nikhil Vasudeva, Bikas Saha, Pritom Baruah, Yunyao Li
2025 J jnl
Adobe Summit Concierge Evaluation with Human in the Loop.
CoRR
Yiru Chen, Sally Fang, Sai Sree Harsha, Dan Luo, Vaishnavi Muppala, Fei Wu, Shun Jiang, Kun Qian, Yunyao Li
2025 — conf
Doc-React: Multi-page Heterogeneous Document Question-answering.
ACL (2)
Junda Wu, Yu Xia, Tong Yu, Xiang Chen, Sai Sree Harsha, Akash V. Maharaj, Ruiyi Zhang, Victor S. Bursztyn, Sungchul Kim, Ryan A. Rossi, Julian J. McAuley, Yunyao Li, Ritwik Sinha
2025 — conf
Federated Retrieval Augmented Generation for Multi-Product Question Answering.
COLING (Industry)
Parshin Shojaee, Sai Sree Harsha, Dan Luo, Akash Maharaj, Tong Yu, Yunyao Li
2025 J jnl
Federated Retrieval Augmented Generation for Multi-Product Question Answering.
CoRR
Parshin Shojaee, Sai Sree Harsha, Dan Luo, Akash Maharaj, Tong Yu, Yunyao Li
2025 — conf
MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering.
COLING (Demonstrations)
Zhengyuan Zhu, Daniel Lee, Hong Zhang, Sai Sree Harsha, Loic Feujio, Akash Maharaj, Yunyao Li
2024 J jnl
Enhancing Discoverability in Enterprise Conversational Systems with Proactive Question Suggestions.
CoRR
Xiaobin Shen, Daniel Lee, Sumit Ranjan, Sai Sree Harsha, Pawan Sevak, Yunyao Li
2024 J jnl
GenVideo: One-shot Target-image and Shape Aware Video Editing using T2I Diffusion Models.
CoRR
Sai Sree Harsha, Ambareesh Revanur, Dhwanit Agarwal, Shradha Agrawal
2024 — conf
GenVideo: One-shot target-image and shape aware video editing using T2I diffusion models.
CVPR Workshops
Sai Sree Harsha, Ambareesh Revanur, Dhwanit Agarwal, Shradha Agrawal
2024 J jnl
MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering.
CoRR
Zhengyuan Zhu, Daniel Lee, Hong Zhang, Sai Sree Harsha, Loic Feujio, Akash Maharaj, Yunyao Li
2024 — conf
RETAIN: Interactive Tool for Regression Testing Guided LLM Migration.
EMNLP (System Demonstrations)
Tanay Dixit, Daniel Lee, Sally Fang, Sai Sree Harsha, Anirudh Sureshan, Akash V. Maharaj, Yunyao Li
2024 J jnl
RETAIN: Interactive Tool for Regression Testing Guided LLM Migration.
CoRR
Tanay Dixit, Daniel Lee, Sally Fang, Sai Sree Harsha, Anirudh Sureshan, Akash Maharaj, Yunyao Li
2022 A conf
LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity.
WACV
Tejan Karmali, Abhinav Atrishi, Sai Sree Harsha, Susmit Agrawal, Varun Jampani, R. Venkatesh Babu
2022 J jnl
LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity.
CoRR
Tejan Karmali, Abhinav Atrishi, Sai Sree Harsha, Susmit Agrawal, Varun Jampani, R. Venkatesh Babu
2021 — conf
Neural Pooling for Graph Neural Networks.
PReMI
Sai Sree Harsha, Deepak Mishra