425 citations · 449 across the 9 of their papers we have counts for
9 papers
Shepherd: A Critic for Language Model Generation
Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan +7
As large language models improve, there is increasing interest in techniques that leverage these models' capabilities to refine their own outputs. In this work, we introduce Shephe…
Code Llama: Open Foundation Models for Code
Baptiste Rozière, Jonas Gehring, Fabian Gloeckle +23
We release Code Llama, a family of large language models for code based on Llama 2 providing state-of-the-art performance among open models, infilling capabilities, support for lar…
Causal Inference under Data Restrictions
Xiaoqing Tan
This dissertation focuses on modern causal inference under uncertainty and data restrictions, with applications to neoadjuvant clinical trials, distributed data networks, and robus…
RISE: Robust Individualized Decision Learning with Sensitive Variables
Xiaoqing Tan, Zhengling Qi, Christopher W. Seymour +1
This paper introduces RISE, a robust individualized decision learning framework with sensitive variables, where sensitive variables are collectible data and important to the interv…
Double Machine Learning Methods for Estimating Average Treatment Effects: A Comparative Study
Xiaoqing Tan, Shu Yang, Wenyu Ye +3
Observational cohort studies are increasingly being used for comparative effectiveness research to assess the safety of therapeutics. Recently, various doubly robust methods have b…
Point3D: tracking actions as moving points with 3D CNNs
Shentong Mo, Jingfei Xia, Xiaoqing Tan +1
Spatio-temporal action recognition has been a challenging task that involves detecting where and when actions occur. Current state-of-the-art action detectors are mostly anchor-bas…
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
Xiaoqing Tan, Chung-Chou H. Chang, Ling Zhou +1
Accurately estimating personalized treatment effects within a study site (e.g., a hospital) has been challenging due to limited sample size. Furthermore, privacy considerations and…
Identifying Principal Stratum Causal Effects Conditional on a Post-treatment Intermediate Response
Xiaoqing Tan, Judah Abberbock, Priya Rastogi +1
In neoadjuvant trials on early-stage breast cancer, patients are usually randomized into a control group and a treatment group with an additional target therapy. Early efficacy of…
Towards Improving Spatiotemporal Action Recognition in Videos
Shentong Mo, Xiaoqing Tan, Jingfei Xia +1
Spatiotemporal action recognition deals with locating and classifying actions in videos. Motivated by the latest state-of-the-art real-time object detector You Only Watch Once (YOW…