activity
20242026
most citedCurie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

2 citations · 3 across the 8 of their papers we have counts for

collaborators

9 papers

cs.DB2026

AdaBool: Sparse Boolean Matrix Processing with Adaptive Data Representation

Xiangrui Yang, Yifan Lei, Jiawei Yang +6

Many data processing tasks revolve around determining whether logical relationships exist between two sets of entities, a pattern that can be naturally modeled as Sparse Boolean Ma…

cs.SE2026

Automated Synthesis of Cloud Emulators

Archit Bhatnagar, Zhenning Yang, Sarah McClure +3

DevOps programming (e.g., using CLI/API scripts or IaC frameworks) is key to cloud infrastructure management. Unlike traditional programming tasks, DevOps program testing needs pro…

cs.MA2026

Towards a Systems Foundation for Agentic Cloud Management

Minghao Li, Ziqian Liu, Ziyu Mao +5

Agentic cloud management is emerging as a practice to automate laborious operations, minimize toil, and improve responsiveness. Despite the rapid development of autonomous manageme…

cs.NI2026

The Model in the Middle: Toward AI-Native Real-Time Communication

Ziqian Liu, Minghao Li, Yiming Qiu

Full-duplex omni models are transforming human--AI interaction from turn-based exchanges into continuous multimodal conversations in which speaking, listening, and reasoning unfold…

cs.LG2026

The Last Human-Written Paper: Agent-Native Research Artifacts

Jiachen Liu, Jiaxin Pei, Jintao Huang +34

Scientific publication compresses a branching, iterative research process into a linear narrative, discarding the majority of what was discovered along the way. This compilation im…

cs.AI2025

Cloud Infrastructure Management in the Age of AI Agents

Zhenning Yang, Archit Bhatnagar, Yiming Qiu +6

Cloud infrastructure is the cornerstone of the modern IT industry. However, managing this infrastructure effectively requires considerable manual effort from the DevOps engineering…

cs.AI2025★ 1 cited

EXP-Bench: Can AI Conduct AI Research Experiments?

Patrick Tser Jern Kon, Jiachen Liu, Xinyi Zhu +10

Automating AI research holds immense potential for accelerating scientific progress, yet current AI agents struggle with the complexities of rigorous, end-to-end experimentation. W…

cs.AI2025★ 2 cited

Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents

Patrick Tser Jern Kon, Jiachen Liu, Qiuyi Ding +7

Scientific experimentation, a cornerstone of human progress, demands rigor in reliability, methodical control, and interpretability to yield meaningful results. Despite the growing…

cs.IR2024

Disaggregating Embedding Recommendation Systems with FlexEMR

Yibo Huang, Zhenning Yang, Jiarong Xing +5

Efficiently serving embedding-based recommendation (EMR) models remains a significant challenge due to their increasingly large memory requirements. Today's practice splits the mod…