6 papers
Data-Centric Foundation Models in Computational Healthcare: A Survey
Yunkun Zhang, Jin Gao, Zheling Tan +5
The advent of foundation models (FMs) as an emerging suite of AI techniques has struck a wave of opportunities in computational healthcare. The interactive nature of these models,…
Credit-Budgeted ICPC-Style Coding: When Agents Must Pay for Every Decision
Lingfeng Zhou, Junhao Shi, Jin Gao +1
Current evaluations of autonomous coding agents assume an unrealistic, infinite-resource environment. However, real-world software engineering is a resource-bound competition. As w…
FlockVote: LLM-Empowered Agent-Based Modeling for Simulating U.S. Presidential Elections
Lingfeng Zhou, Yi Xu, Zhenyu Wang +1
Modeling complex human behavior, such as voter decisions in national elections, is a long-standing challenge for computational social science. Traditional agent-based models (ABMs)…
Intelligent Computing Social Modeling and Methodological Innovations in Political Science in the Era of Large Language Models
Zhenyu Wang, Dequan Wang, Yi Xu +2
The recent wave of artificial intelligence, epitomized by large language models (LLMs),has presented opportunities and challenges for methodological innovation in political science…
FlowMesh: A Service Fabric for Composable LLM Workflows
Junyi Shen, Noppanat Wadlom, Lingfeng Zhou +4
AI deployment increasingly resembles a pipeline of data transformation, fine-tuning, and agent interactions rather than a monolithic LLM job; recent examples include RLHF/RLAIF tra…
PersonaEval: Are LLM Evaluators Human Enough to Judge Role-Play?
Lingfeng Zhou, Jialing Zhang, Jin Gao +2
Current role-play studies often rely on unvalidated LLM-as-a-judge paradigms, which may fail to reflect how humans perceive role fidelity. A key prerequisite for human-aligned eval…