collaborators

5 papers

cs.SE2026

Fantastic Adaptive Taxonomies and How to Use Them

Mert Cemri, Andrei Cojocaru, Melissa Pan +9

An agent system's execution traces record how it fails, and procedures that improve such a system without changing model weights (trajectory selection, prompt and workflow optimiza…

cs.DB2026

The Time is Here for Just-in-Time Systems: Challenges and Opportunities

Shu Liu, Alexander Krentsel, Shubham Agarwal +8

Core systems like key-value stores have historically taken years to build, and are designed to be general so as to amortize cost across deployments, paying a significant performanc…

cs.AI2026

Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems

Shubham Agarwal, Alexander Krentsel, Shu Liu +10

AI agents increasingly excel at generating, testing, and refining code. However, they fall short on tasks requiring formal guarantees of full coverage that testing alone cannot pro…

cs.SE2025

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

Audrey Cheng, Shu Liu, Melissa Pan +18

Artificial Intelligence (AI) is beginning to transform the research process by automating the discovery of new solutions. This shift depends on the availability of reliable verifie…

cs.AI2025

Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First

Shu Liu, Soujanya Ponnapalli, Shreya Shankar +12

Large Language Model (LLM) agents, acting on their users' behalf to manipulate and analyze data, are likely to become the dominant workload for data systems in the future. When wor…