Harshit Joshi (हर्षित जोशी)
I'm a fourth-year CS PhD student at Stanford University with the StanfordNLP group and OVAL lab, advised by Prof. Monica Lam. I'm currently interested in creating systems that assist users and researchers to leverage LLMs for gathering and curating knowledge — see ⚡ SHELDON, 🍔 SLIDERS and 🤖 Genie Worksheets.
Previously, I was a Research Fellow at Microsoft Research with the PROSE group, where I worked on Program Repair and Formula Intelligence in Excel spreadsheets, advised by Dr. José Cambronero and Dr. Vu Le.
If you're an undergrad/master's student at Stanford interested in research, please reach out! I'm more than happy to chat about opportunities here!
News
Oct 13, 2026
New paper: ⚡ SHELDON — Reasoning through Dual Search over Hypothesis and Observation Spaces Link
Apr 24, 2026
New paper: 🍔 SLIDERS — Scalable QA over Long Document Sets. (Neurips 2026) Link
Jun 12, 2025
Quoted in The Economist article "Can India be an AI winner?" discussing AI developments in India. Link
May 15, 2025
Genie Worksheets is accepted to ACL 2025 (See you in Vienna!)
Publications
2026
H. Joshi, P. Shethia, M.S. Lam • Preprint 2026
2026
H. Joshi, P. Shethia, J. Dao, M.S. Lam • NeurIPS 2026
2025
H. Joshi, S. Liu, J. Chen, L. Weighle, M.S. Lam • ACL 2025
2024
H. Joshi, A. Ebenezer, J. Cambronero, S. Gulwani, A. Kanade, V. Le, I. Radicek, G. Verbruggen • AAAI 2024
2023
H. Joshi, J. Cambronero, S. Gulwani, A. Kanade, V. Le, I. Radicek, G. Verbruggen • AAAI 2023
