4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.LG2026
Distill Globally, Adapt Locally: Reasoning Distillation and Product-Type Test-Time Training for Scalable Trade-Up Recommendation
Siliang Liu, Mohammad Ghasemi, Sapan Patel +1
Trade-up recommendation identifies higher-quality alternatives that preserve a customer's purchase intent while offering upgraded benefits. Large language models (LLMs) can reason…
stat.ML2023★ 4 cited
Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries
Patrick Chao, Patrick Blöbaum, Sapan Patel +1
We consider the problem of answering observational, interventional, and counterfactual queries in a causally sufficient setting where only observational data and the causal graph a…