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)

A SPARQL to Cypher Transpiler: Proposal and Initial Results. - Lakshya A. Agrawal; Nikunj Singhal; Raghava Mutharaju (COMAD/CODS, 2022)

Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context. - Lakshya A. Agrawal; Aditya Kanade 001; Navin Goyal; Shuvendu K. Lahiri; Sriram K. Rajamani (NeurIPS, 2023)

Guiding Language Models of Code with Global Context using Monitors. - Lakshya A. Agrawal; Aditya Kanade 001; Navin Goyal; Shuvendu K. Lahiri; Sriram K. Rajamani (CoRR, 2023)

LangProBe: a Language Programs Benchmark. - Shangyin Tan; Lakshya A. Agrawal; Arnav Singhvi; Liheng Lai; Michael J. Ryan; Dan Klein 001; Omar Khattab; Koushik Sen; Matei Zaharia (CoRR, 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 001; Kannan Ramchandran; Matei Zaharia; Joseph E. Gonzalez; et al. (CoRR, 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; et al. (CoRR, 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 001; Matei Zaharia; Karel D'Oosterlinck; Christopher Potts; et al. (CoRR, 2025)