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Lakshya A Agrawal

Observed names: Agrawal, Lakshya, Agrawal, Lakshya A, Agrawal, Lakshya A., Lakshya A. Agrawal
ORCID: 0000-0003-0409-8212
Observed ORCIDs: 0000-0003-0409-8212, 0009-0001-5729-3903
OpenAlex ID: A5120308487
Why Do Multi-Agent LLM Systems Fail?
2025 · Mert Cemri, Melissa Z Pan, et al. · neural information processing systems · 51
Guiding Language Models of Code with Global Context using Monitors
2023 · Agrawal, Lakshya A, Kanade, Aditya, et al. · arXiv (Cornell University) · 6
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Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context
2023 · Lakshya A Agrawal, Aditya Kanade, et al. · neural information processing systems · 4
A SPARQL to Cypher Transpiler: Proposal and Initial Results
2022 · Lakshya A Agrawal, Nikunj Singhal, et al. · Joint International Conference on Data Science & Management of Data (CODS-COMAD) · 2
optimize_anything: A Universal API for Optimizing any Text Parameter
2026 · Lakshya A Agrawal, Donghyun Lee, et al. · ACM Conference on AI and Agentic Systems (CAIS) · 1
Batching the Reflective Optimization Loop: Parallel Proposals Make GEPA Faster and Better
2026 · Zhang, Jialin, Agrawal, Lakshya A, et al. · arXiv (Cornell University)
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Scaling Discovery Requires Forgetting
2026 · Tan, Shangyin, Zhou, Ben, et al. · arXiv (Cornell University)
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optimize_anything: Unified Text Optimization can Outperform Specialized Systems
2026 · Lakshya A Agrawal, Donghyun Lee, et al. · ACM Conference on AI and Agentic Systems (CAIS)
Composing Policy Gradients and Prompt Optimization for Language Model Programs
2026 · Noah Ziems, Dilara Soylu, et al. · ACM Conference on AI and Agentic Systems (CAIS)
Automatically Learning Skills for Coding Agents
2026 · Shangyin Tan, Lakshya A Agrawal, et al. · ACM Conference on AI and Agentic Systems (CAIS)
Learning, Fast and Slow: Towards LLMs That Adapt Continually
2026 · Tiwari, Rishabh, Sareen, Kusha, et al. · arXiv (Cornell University)
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GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
2026 · Agrawal, Lakshya A, Tan, Shangyin, et al. · Zenodo (CERN European Organization for Nuclear Research)
Combee: Scaling Prompt Learning for Self-Improving Language Model Agents
2026 · Li, Hanchen, He, Runyuan, et al. · arXiv (Cornell University)
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Let the Barbarians In: How AI Can Accelerate Systems Performance Research
2025 · Cheng, Audrey, Liu, Shu, et al. · arXiv (Cornell University)
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LangProBe: a Language Programs Benchmark
2025 · Tan, Shangyin, Agrawal, Lakshya A, et al. · arXiv (Cornell University)
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Remote Voting System Using Biometric Authentication
2025 · Dattatraya S. Adane, Lakshya A. Agrawal, et al. · Lecture notes in networks and systems
LangProBe: a Language Program Benchmark
2025 · Shangyin Tan, Lakshya A Agrawal, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Works count: 19
Citation count: 85
H-index: 4
I10-index: 2
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