Shishir G. Patil

According to our database, Shishir G. Patil authored at least 20 papers between 2019 and 2026.

Collaborative distances:

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

2026

Efficient ML Model Updates for Deeply Embedded Microcontrollers.

Shishir G. Patil, Sam Kumar, Prabal Dutta, Joseph E. Gonzalez

Proceedings of the 21st European Conference on Computer Systems, 2026

AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following.

Yun He, Wenzhe Li, Hejia Zhang, Songlin Li, Karishma Mandyam, Sopan Khosla, Yuanhao Xiong, Nanshu Wang, Xiaoliang Peng, Beibin Li, Shengjie Bi, Shishir G. Patil, Qi Qi, Shengyu Feng, Julian Katz-Samuels, Richard Yuanzhe Pang, Sujan Kumar Gonugondla, Hunter Lang, Yue Yu, Yundi Qian, Maryam Fazel-Zarandi, Licheng Yu, Amine Benhalloum, Hany Hassan Awadalla, Manaal Faruqui

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

MiniScope: A Least Privilege Framework for Authorizing Tool Calling Agents.

Jinhao Zhu, Kevin Tseng, Gil Vernik, Xiao Huang, Shishir G. Patil, Vivian Fang, Raluca Ada Popa

CoRR, December, 2025

AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following.

Yun He, Wenzhe Li, Hejia Zhang, Songlin Li, Karishma Mandyam, Sopan Khosla, Yuanhao Xiong, Nanshu Wang, Xiaoliang Peng, Beibin Li, Shengjie Bi, Shishir G. Patil, Qi Qi, Shengyu Feng, Julian Katz-Samuels, Richard Yuanzhe Pang, Sujan K. Gonugondla, Hunter Lang, Yue Yu, Yundi Qian, Maryam Fazel-Zarandi, Licheng Yu, Amine Benhalloum, Hany Awadalla, Manaal Faruqui

CoRR, November, 2025

LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!

Dacheng Li, Shiyi Cao, Tyler Griggs, Shu Liu, Xiangxi Mo, Eric Tang, Sumanth Hegde, Kourosh Hakhamaneshi, Shishir G. Patil, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica

CoRR, February, 2025

The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models.

Shishir G. Patil, Huanzhi Mao, Fanjia Yan, Charlie Cheng-Jie Ji, Vishnu Suresh, Ion Stoica, Joseph E. Gonzalez

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Language Models Can Easily Learn to Reason from Demonstrations.

Dacheng Li, Shiyi Cao, Tyler Griggs, Shu Liu, Xiangxi Mo, Eric Tang, Sumanth Hegde, Kourosh Hakhamaneshi, Shishir G. Patil, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Revisiting Edge AI: Opportunities and Challenges.

Tobias Meuser, Lauri Lovén, Monowar Bhuyan, Shishir G. Patil, Schahram Dustdar, Atakan Aral, Suzan Bayhan, Christian Becker, Eyal de Lara, Aaron Yi Ding, Janick Edinger, James Gross, Nitinder Mohan, Andy D. Pimentel, Etienne Rivière, Henning Schulzrinne, Pieter Simoens, Gürkan Solmaz, Michael Welzl

IEEE Internet Comput., 2024

Specifications: The missing link to making the development of LLM systems an engineering discipline.

Ion Stoica, Matei Zaharia, Joseph Gonzalez, Ken Goldberg, Koushik Sen, Hao Zhang, Anastasios Angelopoulos, Shishir G. Patil, Lingjiao Chen, Wei-Lin Chiang, Jared Quincy Davis

CoRR, 2024

GoEX: Perspectives and Designs Towards a Runtime for Autonomous LLM Applications.

Shishir G. Patil, Tianjun Zhang, Vivian Fang, Noppapon C., Roy Huang, Aaron Hao, Martin Casado, Joseph E. Gonzalez, Raluca Ada Popa, Ion Stoica

CoRR, 2024

RAFT: Adapting Language Model to Domain Specific RAG.

Tianjun Zhang, Shishir G. Patil, Naman Jain, Sheng Shen, Matei Zaharia, Ion Stoica, Joseph E. Gonzalez

CoRR, 2024

Nebula: A Privacy-First Platform for Data Backhaul.

Jean-Luc Watson, Tess Despres, Alvin Tan, Shishir G. Patil, Prabal Dutta, Raluca Ada Popa

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Gorilla: Large Language Model Connected with Massive APIs.

Shishir G. Patil, Tianjun Zhang, Xin Wang, Joseph E. Gonzalez

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

LLoCO: Learning Long Contexts Offline.

Sijun Tan, Xiuyu Li, Shishir G. Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph Gonzalez, Raluca A. Popa

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

MemGPT: Towards LLMs as Operating Systems.

Charles Packer, Vivian Fang, Shishir G. Patil, Kevin Lin, Sarah Wooders, Joseph E. Gonzalez

CoRR, 2023

Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays.

Paras Jain, Sam Kumar, Sarah Wooders, Shishir G. Patil, Joseph E. Gonzalez, Ion Stoica

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

2022

POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging.

Shishir G. Patil, Paras Jain, Prabal Dutta, Ion Stoica, Joseph Gonzalez

Proceedings of the International Conference on Machine Learning, 2022

Where the sidewalk ends: privacy of opportunistic backhaul.

Tess Despres, Shishir G. Patil, Alvin Tan, Jean-Luc Watson, Prabal Dutta

Proceedings of the EuroSec@EUROSYS 2022: Proceedings of the 15th European Workshop on Systems Security, 2022

2021

Learning Embeddings that Capture Spatial Semantics for Indoor Navigation.

Vidhi Jain, Prakhar Agarwal, Shishir G. Patil, Katia P. Sycara

CoRR, 2021

2019

GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users.

Shishir G. Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Vardhan Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain

Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, 2019