Sai Sree Harsha

15 papers A* 1A 1Journal 7Unranked 6

Year	Rank	Type	Title / 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