3 citations · 3 across the 6 of their papers we have counts for
6 papers
Beyond Exchangeability: Distribution-Shift-Aware Integration of External Control Data in Randomized Trials
Jiawei Shan, Yiteng Tu, Guanbo Wang +2
Randomized controlled trials (RCTs) are the gold standard for evaluating causal effects but are often costly and difficult to scale; consequently, they are frequently augmented wit…
Skill Retrieval Augmentation for Agentic AI
Weihang Su, Jianming Long, Qingyao Ai +6
As large language models (LLMs) evolve into agentic problem solvers, they increasingly rely on external, reusable skills to handle tasks beyond their native parametric capabilities…
Analytical Search
Yiteng Tu, Shuo Miao, Weihang Su +2
Analytical information needs, such as trend analysis and causal impact assessment, are prevalent across various domains including law, finance, science, and much more. However, exi…
Equity vs. Equality: Optimizing Ranking Fairness for Tailored Provider Needs
Yiteng Tu, Weihang Su, Shuguang Han +2
Ranking plays a central role in connecting users and providers in Information Retrieval (IR) systems, making provider-side fairness an important challenge. While recent research ha…
RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects
Yiteng Tu, Weihang Su, Yujia Zhou +2
Retrieval-augmented generation (RAG) enhances large language models (LLMs) by integrating external knowledge retrieved from a knowledge base. However, its effectiveness is fundamen…
PRE: A Peer Review Based Large Language Model Evaluator
Zhumin Chu, Qingyao Ai, Yiteng Tu +2
The impressive performance of large language models (LLMs) has attracted considerable attention from the academic and industrial communities. Besides how to construct and train LLM…