3 papers
stat.ME2026
GAUGER: Generalized Regression Adjustment via Graph-Weighted Exposure-Level Residualization for Design-Based Inference Under Interference
Lei Shi, Rita Lyu, Sizhu Lu +1
Estimating causal effects under interference is a common problem in social science and economics. However, it is challenging due to the complex dependency structure induced by netw…
cs.LG2026
BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges
Lei Shi, Anlan Zhang, Rita Lyu +6
AI judges offer a scalable, low-cost alternative to human evaluation, but their outputs can be biased relative to human preferences and highly item-dependent, varying across judges…
cs.AI2026
QUARK: Robust Retrieval under Non-Faithful Queries via Query-Anchored Aggregation
Rita Qiuran Lyu, Michelle Manqiao Wang, Lei Shi
User queries in real-world retrieval are often non-faithful (noisy, incomplete, or distorted), causing retrievers to fail when key semantics are missing. We formalize this as retri…