LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. - Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Ré; Adam Chilton; K. Aditya; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; et al. (NeurIPS, 2023)

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. - Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Ré; Adam Chilton; Aditya Narayana; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; et al. (CoRR, 2023)

tailwiz: Empowering Domain Experts with Easy-to-Use, Task-Specific Natural Language Processing Models. - Timothy Dai; Austin Peters; Jonah B. Gelbach; David Freeman Engstrom; Daniel Kang (DEEM@SIGMOD, 2024)

LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data. - Chuxuan Hu; Austin Peters; Daniel Kang (Proc. VLDB Endow., 2024)

REPRO-Bench: Can Agentic AI Systems Assess the Reproducibility of Social Science Research? - Chuxuan Hu; Liyun Zhang; Yeji Lim; Aum Wadhwani; Austin Peters; Daniel Kang (ACL (Findings), 2025)