Publications (8)
Resources for Automated Evaluation of Assistive RAG Systems that Help Readers with News Trustworthiness Assessment
Dake Zhang, Mark D. Smucker, Charles L. A. Clarke
Many readers today struggle to assess the trustworthiness of online news because reliable reporting coexists with misinformation. The TREC 2025 DRAGUN (Detection, Retrieval, and Au…
Auto-Doubly Robust Estimation of Causal Effects on a Network
Jizhou Liu, Dake Zhang, Eric J. Tchetgen Tchetgen
This paper develops new methods for causal inference in observational studies on a single large network of interconnected units, addressing two key challenges: long-range dependenc…
ReadProbe: A Demo of Retrieval-Enhanced Large Language Models to Support Lateral Reading
Dake Zhang, Ronak Pradeep
With the rapid growth and spread of online misinformation, people need tools to help them evaluate the credibility and accuracy of online information. Lateral reading, a strategy t…
Traversing Pareto Optimal Policies: Provably Efficient Multi-Objective Reinforcement Learning
Shuang Qiu, Dake Zhang, Rui Yang +2
This paper investigates multi-objective reinforcement learning (MORL), which focuses on learning Pareto optimal policies in the presence of multiple reward functions. Despite MORL'…
A Joint Probabilistic Classification Model of Relevant and Irrelevant Sentences in Mathematical Word Problems
Suleyman Cetintas, Luo Si, Yan Ping Xin +3
Estimating the difficulty level of math word problems is an important task for many educational applications. Identification of relevant and irrelevant sentences in math word probl…
Data-driven solar forecasting enables near-optimal economic decisions
Zhixiang Dai, Minghao Yin, Xuanhong Chen +27
Solar energy adoption is critical to achieving net-zero emissions. However, it remains difficult for many industrial and commercial actors to decide on whether they should adopt di…