Lakshya A. Agrawal

According to our database, Lakshya A. Agrawal authored at least 19 papers between 2020 and 2026.

Collaborative distances:

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

2026

optimize_anything: A Universal API for Optimizing any Text Parameter.

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

CoRR, May, 2026

Learning, Fast and Slow: Towards LLMs That Adapt Continually.

Rishabh Tiwari, Kusha Sareen, Lakshya A. Agrawal, Joseph E. Gonzalez, Matei Zaharia, Kurt Keutzer, Inderjit S. Dhillon, Rishabh Agarwal, Devvrit Khatri

CoRR, May, 2026

Combee: Scaling Prompt Learning for Self-Improving Language Model Agents.

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

CoRR, April, 2026

Composing Policy Gradients and Prompt Optimization for Language Model Programs.

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

Proceedings of the ACM Conference on AI and Agentic Systems, 2026

Automatically Learning Skills for Coding Agents.

Shangyin Tan, Lakshya A. Agrawal, Rohit Sandadi, Dan Klein, Koushik Sen, Alexandros G. Dimakis, Matei Zaharia

Proceedings of the ACM Conference on AI and Agentic Systems, 2026

optimize_anything: Unified Text Optimization can Outperform Specialized Systems.

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

Proceedings of the ACM Conference on AI and Agentic Systems, 2026

optimize_anything: A Universal API for Optimizing any Text Parameter.

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

Proceedings of the ACM Conference on AI and Agentic Systems, 2026

2025

Let the Barbarians In: How AI Can Accelerate Systems Performance Research.

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

CoRR, December, 2025

Measuring Agents in Production.

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

CoRR, December, 2025

Barbarians at the Gate: How AI is Upending Systems Research.

Audrey Cheng, Shu Liu, Melissa Z. Pan, Zhifei Li, Bowen Wang, Alex Krentsel, Tian Xia, Mert Cemri, Jongseok Park, Shuo Yang, Jeff Chen, Lakshya A. Agrawal, Aditya Desai, Jiarong Xing, Koushik Sen, Matei Zaharia, Ion Stoica

CoRR, October, 2025

Multi-module GRPO: Composing Policy Gradients and Prompt Optimization for Language Model Programs.

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

CoRR, August, 2025

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning.

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

CoRR, July, 2025

LangProBe: a Language Programs Benchmark.

Shangyin Tan, Lakshya A. Agrawal, Arnav Singhvi, Liheng Lai, Michael J. Ryan, Dan Klein, Omar Khattab, Koushik Sen, Matei Zaharia

CoRR, February, 2025

Why Do Multi-Agent LLM Systems Fail?

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

LangProBe: a Language Program Benchmark.

Shangyin Tan, Lakshya A. Agrawal, Arnav Singhvi, Liheng Lai, Michael J. Ryan, Daniel Klein, Omar Khattab, Koushik Sen, Matei Zaharia

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

2023

Guiding Language Models of Code with Global Context using Monitors.

Lakshya A. Agrawal, Aditya Kanade, Navin Goyal, Shuvendu K. Lahiri, Sriram K. Rajamani

CoRR, 2023

Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context.

Lakshya A. Agrawal, Aditya Kanade, Navin Goyal, Shuvendu K. Lahiri, Sriram K. Rajamani

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A SPARQL to Cypher Transpiler: Proposal and Initial Results.

Lakshya A. Agrawal, Nikunj Singhal, Raghava Mutharaju

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2020

A Novel Sentiment Analysis Engine for Preliminary Depression Status Estimation on Social Media.

Sudhir Kumar Suman, Hrithwik Shalu, Lakshya A. Agrawal, Archit Agrawal, Juned Kadiwala

CoRR, 2020