5 papers
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…
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…
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…