Tengjun Jin

According to our database, Tengjun Jin authored at least 5 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Establishing Best Practices for Building Rigorous Agentic Benchmarks.

Yuxuan Zhu, Tengjun Jin, Yada Pruksachatkun, Andy Zhang, Shu Liu, Sasha Cui, Sayash Kapoor, Shayne Longpre, Kevin Meng, Rebecca Weiss, Fazl Barez, Rahul Gupta, Jwala Dhamala, Jacob Merizian, Mario Giulianelli, Harry Coppock, Cozmin Ududec, Jasjeet S. Sekhon, Jacob Steinhardt, Antony Kellerman, Sarah Schwettmann, Matei Zaharia, Ion Stoica, Percy Liang, Daniel Kang

CoRR, July, 2025

PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees.

Yuxuan Zhu, Tengjun Jin, Stefanos Baziotis, Chengsong Zhang, Charith Mendis, Daniel D. Kang

Proc. ACM Manag. Data, June, 2025

ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines.

Tengjun Jin, Yuxuan Zhu, Daniel Kang

CoRR, April, 2025

PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees (Technical Report).

Yuxuan Zhu, Tengjun Jin, Stefanos Baziotis, Chengsong Zhang, Charith Mendis, Daniel Kang

CoRR, March, 2025

2024

AIDB: a Sparsely Materialized Database for Queries using Machine Learning.

Tengjun Jin, Akash Mittal, Chenghao Mo, Jiahao Fang, Chengsong Zhang, Timothy Dai, Daniel Kang

Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning, 2024