activity
20242026
most citedAgentic LLM Workflows for Generating Patient-Friendly Medical Reports

8 citations · 11 across the 7 of their papers we have counts for

collaborators

7 papers

econ.GN2026

Forecasting Inflation with Microdata: An Adaptive Machine Learning Approach

Catherine Chen, Chen Gao, Jonathon Hazell +2

Does microeconomic heterogeneity help to forecast aggregate inflation in a non-stationary environment? We develop a scan test for whether one forecast outperforms another, over an…

cs.LG2026

Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference

Catherine Chen, Jingyan Shen, Zhun Deng +1

We present an online, distribution-free framework for controlling the Conditional Value-at-Risk (CVaR), extending conformal tail risk control to non-stationary and adversarial envi…

cs.IR2026

RankSteer: Can Pointwise LLM Rankers Be Calibrated at the Representation Level?

Yumeng Wang, Catherine Chen, Suzan Verberne

Large language models (LLMs) are strong zero-shot pointwise rankers, but lag behind pairwise and listwise methods. Beyond missing comparative signals, we identify a \textit{calibra…

cs.IR2025

How role-play shapes relevance judgment in zero-shot LLM rankers

Yumeng Wang, Jirui Qi, Catherine Chen +2

Large Language Models (LLMs) have emerged as promising zero-shot rankers, but their performance is highly sensitive to prompt formulation. In particular, role-play prompts, where t…

cs.LG2025★ 1 cited

Conformal Tail Risk Control for Large Language Model Alignment

Catherine Yu-Chi Chen, Jingyan Shen, Zhun Deng +1

Recent developments in large language models (LLMs) have led to their widespread usage for various tasks. The prevalence of LLMs in society implores the assurance on the reliabilit…

cs.CL2024★ 2 cited

Political-LLM: Large Language Models in Political Science

Lincan Li, Jiaqi Li, Catherine Chen +44

In recent years, large language models (LLMs) have been widely adopted in political science tasks such as election prediction, sentiment analysis, policy impact assessment, and mis…

cs.MA2024★ 8 cited

Agentic LLM Workflows for Generating Patient-Friendly Medical Reports

Malavikha Sudarshan, Sophie Shih, Estella Yee +7

The application of Large Language Models (LLMs) in healthcare is expanding rapidly, with one potential use case being the translation of formal medical reports into patient-legible…