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ORCIDLakshya A. Agrawal
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2020 – today
- 2026
[c9]Lakshya A. Agrawal
, Donghyun Lee, Shangyin Tan, Wenjie Ma, Karim Elmaaroufi, Rohit Sandadi, Sanjit A. Seshia, Koushik Sen, Dan Klein, Ion Stoica, Joseph E. Gonzalez, Omar Khattab, Alexandros G. Dimakis, Matei Zaharia:
optimize_anything: Unified Text Optimization can Outperform Specialized Systems. CAIS 2026: 1-16- [c8]Noah Ziems, Dilara Soylu, Lakshya A. Agrawal, Isaac Miller, Liheng Lai, Chen Qian, Kaiqiang Song, Meng Jiang, Dan Klein, Matei Zaharia, Karel D'Oosterlinck, Christopher Potts, Omar Khattab:
Composing Policy Gradients and Prompt Optimization for Language Model Programs. CAIS 2026: 197-213 - [c7]Lakshya A. Agrawal, Donghyun Lee, Shangyin Tan, Wenjie Ma, Karim Elmaaroufi, Sanjit A. Seshia, Koushik Sen, Dan Klein, Ion Stoica, Joseph E. Gonzalez, Omar Khattab, Alexandros G. Dimakis, Matei Zaharia:
optimize_anything: A Universal API for Optimizing any Text Parameter. CAIS 2026: 1300-1304 - [c6]Shangyin Tan, Lakshya A. Agrawal, Rohit Sandadi, Dan Klein, Koushik Sen, Alexandros G. Dimakis, Matei Zaharia:
Automatically Learning Skills for Coding Agents. CAIS 2026: 1310-1315 - [c5]Lakshya A. Agrawal, Shangyin Tan, Dilara Soylu, Noah Ziems, Rishi Khare, Krista Opsahl-Ong, Arnav Singhvi, Herumb Shandilya, Michael J. Ryan, Meng Jiang, Christopher Potts, Koushik Sen, Alex Dimakis, Ion Stoica, Dan Klein, Matei Zaharia, Omar Khattab:
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning. ICLR 2026 - [i12]Hanchen Li, Runyuan He, Qizheng Zhang, Changxiu Ji, Qiuyang Mang, Xiaokun Chen, Lakshya A. Agrawal, Wei-Liang Liao, Eric Yang, Alvin Cheung, James Zou, Kunle Olukotun, Ion Stoica, Joseph E. Gonzalez:
Combee: Scaling Prompt Learning for Self-Improving Language Model Agents. CoRR abs/2604.04247 (2026) - [i11]Rishabh Tiwari, Kusha Sareen, Lakshya A. Agrawal, Joseph E. Gonzalez, Matei Zaharia, Kurt Keutzer, Inderjit S. Dhillon, Rishabh Agarwal, Devvrit Khatri:
Learning, Fast and Slow: Towards LLMs That Adapt Continually. CoRR abs/2605.12484 (2026) - [i10]Lakshya A. Agrawal, Donghyun Lee, Shangyin Tan, Wenjie Ma, Karim Elmaaroufi, Rohit Sandadi, Sanjit A. Seshia, Koushik Sen, Daniel Klein, Ion Stoica, Joseph E. Gonzalez, Omar Khattab, Alexandros G. Dimakis, Matei Zaharia:
optimize_anything: A Universal API for Optimizing any Text Parameter. CoRR abs/2605.19633 (2026) - 2025
- [c4]Shangyin Tan, Lakshya A. Agrawal, Arnav Singhvi, Liheng Lai, Michael J. Ryan, Daniel Klein, Omar Khattab, Koushik Sen, Matei Zaharia:
LangProBe: a Language Program Benchmark. EMNLP (Findings) 2025: 21489-21509 - [c3]Mert Cemri, Melissa Z. Pan, Shuyi Yang, Lakshya A. Agrawal, Bhavya Chopra, Rishabh Tiwari, Kurt Keutzer, Aditya G. Parameswaran, Dan Klein, Kannan Ramchandran, Matei A. Zaharia, Joseph E. Gonzalez, Ion Stoica:
Why Do Multi-Agent LLM Systems Fail? NeurIPS 2025 - [i9]Shangyin Tan, Lakshya A. Agrawal, Arnav Singhvi, Liheng Lai, Michael J. Ryan, Dan Klein, Omar Khattab, Koushik Sen, Matei Zaharia:
LangProBe: a Language Programs Benchmark. CoRR abs/2502.20315 (2025) - [i8]Mert Cemri, Melissa Z. Pan, Shuyi Yang, Lakshya A. Agrawal, Bhavya Chopra, Rishabh Tiwari, Kurt Keutzer, Aditya G. Parameswaran, Dan Klein, Kannan Ramchandran, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica:
Why Do Multi-Agent LLM Systems Fail? CoRR abs/2503.13657 (2025) - [i7]Lakshya A. Agrawal, Shangyin Tan, Dilara Soylu, Noah Ziems, Rishi Khare, Krista Opsahl-Ong, Arnav Singhvi, Herumb Shandilya, Michael J. Ryan, Meng Jiang, Christopher Potts, Koushik Sen, Alexandros G. Dimakis, Ion Stoica, Daniel Klein, Matei Zaharia, Omar Khattab:
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning. CoRR abs/2507.19457 (2025) - [i6]Noah Ziems, Dilara Soylu, Lakshya A. Agrawal, Isaac Miller, Liheng Lai, Chen Qian, Kaiqiang Song, Meng Jiang, Daniel Klein, Matei Zaharia, Karel D'Oosterlinck, Christopher Potts, Omar Khattab:
Multi-module GRPO: Composing Policy Gradients and Prompt Optimization for Language Model Programs. CoRR abs/2508.04660 (2025) - [i5]Audrey Cheng, Shu Liu, Melissa Z. Pan, Zhifei Li, Bowen Wang, Alexander Krentsel, Tian Xia, Mert Cemri, Jongseok Park, Shuo Yang, Jeff Chen, Lakshya A. Agrawal, Aditya Desai, Jiarong Xing, Koushik Sen, Matei Zaharia, Ion Stoica:
Barbarians at the Gate: How AI is Upending Systems Research. CoRR abs/2510.06189 (2025) - [i4]Melissa Z. Pan, Negar Arabzadeh, Riccardo Cogo, Yuxuan Zhu, Alexander Xiong, Lakshya A. Agrawal, Huanzhi Mao, Emma Shen, Sid Pallerla, Liana Patel, Shu Liu, Tianneng Shi, Xiaoyuan Liu, Jared Quincy Davis, Emmanuele Lacavalla, Alessandro Basile, Shuyi Yang, Paul Castro, Daniel Kang, Joseph E. Gonzalez, Koushik Sen, Dawn Song, Ion Stoica, Matei Zaharia, Marquita Ellis:
Measuring Agents in Production. CoRR abs/2512.04123 (2025) - [i3]Audrey Cheng, Shu Liu, Melissa Z. Pan, Zhifei Li, Shubham Agarwal, Mert Cemri, Bowen Wang, Alexander Krentsel, Tian Xia, Jongseok Park, Shuo Yang, Jeff Chen, Lakshya A. Agrawal, Ashwin Naren, Shulu Li, Ruiying Ma, Aditya Desai, Jiarong Xing, Koushik Sen, Matei Zaharia, Ion Stoica:
Let the Barbarians In: How AI Can Accelerate Systems Performance Research. CoRR abs/2512.14806 (2025) - 2023
- [c2]Lakshya A. Agrawal, Aditya Kanade, Navin Goyal, Shuvendu K. Lahiri, Sriram K. Rajamani:
Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context. NeurIPS 2023 - [i2]Lakshya A. Agrawal, Aditya Kanade, Navin Goyal, Shuvendu K. Lahiri, Sriram K. Rajamani:
Guiding Language Models of Code with Global Context using Monitors. CoRR abs/2306.10763 (2023) - 2022
- [c1]Lakshya A. Agrawal, Nikunj Singhal, Raghava Mutharaju:
A SPARQL to Cypher Transpiler: Proposal and Initial Results. COMAD/CODS 2022: 312-313 - 2020
- [i1]Sudhir Kumar Suman, Hrithwik Shalu, Lakshya A. Agrawal, Archit Agrawal, Juned Kadiwala:
A Novel Sentiment Analysis Engine for Preliminary Depression Status Estimation on Social Media. CoRR abs/2011.14280 (2020)
Coauthor Index
aka: Matei A. Zaharia
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