Andrew Wang

PhD student, Department of Computer Science, University of Toronto

2 papers at NeurIPS 2025

Homepage· OpenReview· Semantic Scholar· Google Scholar

Poster Session 6

2 papers

Friday, December 5, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data

#416 · Andrew C Li, Toryn Q. Klassen, Andrew Wang, Parand A. Alamdari, Sheila A. McIlraith

We train RL agents directly from high-level specifications, without reward functions or domain-specific oracles.

Better Training Data Attribution via Better Inverse Hessian-Vector Products

#3907 · Andrew Wang, Elisa Nguyen, Runshi Yang, Juhan Bae, Sheila A. McIlraith, Roger Baker Grosse

We apply the EKFAC-preconditioner on Neumann series iterations to arrive at an unbiased iHVP approximation for TDA that improves influence function and unrolled differentiation performance.