Publication Secure Sorting and Selection via Function Secret Sharing Amit Agarwal, Elette Boyle, Nishanth Chandran, Niv Gilboa, Divya Gupta, Yuval Ishai, Mahimna Kelkar, Yiping Ma 31st Annual Conference on Computer and Communications Security (ACM CCS 2024) | October 2024 Project
Publication Leveraging LLMs for Program Verification Adharsh Kamath, Aditya Senthilnathan, Saikat Chakraborty, Pantazis Deligiannis, Shuvendu Lahiri, Akash Lal, Aseem Rastogi, Subhajit Roy, Rahul Sharma Formal Methods in Computer-Aided Design (FMCAD) | October 2024
Publication Learnings from a Large-Scale Deployment of an LLM-Powered Expert-in-the-Loop Healthcare Chatbot Bhuvan Sachdeva, Pragnya Ramjee, Geeta Fulari, Dr. Kaushik Murali, Mohit Jain September 2024 Project Project
Publication Adaptive Security, Erasures, and Network Assumptions in Communication-Local MPC Nishanth Chandran, Juan Garay, Ankit Kumar Misra, Rafail Ostrovsky, Vassilis Zikas 2024 Theory of Cryptography Conference | September 2024
Publication Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval Sachin Yadav, Deepak Saini, Anirudh Buvanesh, Bhawna Paliwal, Kunal Dahiya, Siddarth Asokan, Yashoteja Prabhu, Jian Jiao, Manik Varma KDD 2024 | August 2024
Publication Experiences from Running a Voice-Based Education Platform for Children and Teachers with Visual Impairments Roshni Poddar, Tarini Naik, Manikanteswar Punnam, Kavyansh Chourasia, Rajeswari Pandurangan, Rajesh S Paali, Nagarathna R Bhat, Bhagyashree Biradar, Venkatesh Deshpande, Devidatta Ghosh, Sudipta Ray Chaudhuri, Dipanjan Chakraborty, Amit Prakash, Swami Manohar ACM Journal on Computing and Sustainable Societies | August 2024, Vol 2(3) Project
Publication Causal Reasoning and Large Language Models: Opening a New Frontier for Causality Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan Transactions on Machine Learning Research (TMLR) | August 2024 Outstanding Certification Finalist Selected for presentation at ICLR 2025 Project
Publication Etalon: Holistic Performance Evaluation Framework for LLM Inference Systems Amey Agrawal, Anmol Agarwal, Nitin Kedia, Jayashree Mohan, Souvik Kundu, Nipun Kwatra, Ramachandran Ramjee, Alexey Tumanov July 2024 Project
Publication CORE: Resolving Code Quality Issues using LLMs Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade (kanadeaditya), Suresh Parthasarathy (supartha), Sriram Rajamani (sriram) FSE | July 2024
Publication Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository Ajinkya Deshpande, Anmol Agarwal, Shashank Shet, Arun Iyer, Aditya Kanade, Ramakrishna Bairi, Suresh Parthasarathy International Conference on Machine Learning Workshop on Data-Centric Machine Learning Research (DMLR-ICML) | July 2024 Github
