activity
20232026
most citedA scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)

21 citations · 87 across the 22 of their papers we have counts for

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Showing 2024Show all

11 papers · 1 filter

cs.AI2024★ 15 cited

Game-theoretic LLM: Agent Workflow for Negotiation Games

Wenyue Hua, Ollie Liu, Lingyao Li +9

This paper investigates the rationality of large language models (LLMs) in strategic decision-making contexts, specifically within the framework of game theory. We evaluate several…

cs.SI2024★ 1 cited

Characterizing Online Toxicity During the 2022 Mpox Outbreak: A Computational Analysis of Topical and Network Dynamics

Lizhou Fan, Lingyao Li, Libby Hemphill

Background: Online toxicity, encompassing behaviors such as harassment, bullying, hate speech, and the dissemination of misinformation, has become a pressing social concern in the…

cs.CL2024★ 7 cited

Simulated patient systems powered by large language model-based AI agents offer potential for transforming medical education

Huizi Yu, Jiayan Zhou, Lingyao Li +22

Background: Simulated patient systems are important in medical education and research, providing safe, integrative training environments and supporting clinical decision making. Ad…

q-fin.TR2024★ 4 cited

When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments

Chong Zhang, Xinyi Liu, Zhongmou Zhang +10

Can AI Agents simulate real-world trading environments to investigate the impact of external factors on stock trading activities (e.g., macroeconomics, policy changes, company fund…

cs.AI2024★ 17 cited

Prompt Design Matters for Computational Social Science Tasks but in Unpredictable Ways

Shubham Atreja, Joshua Ashkinaze, Lingyao Li +2

Manually annotating data for computational social science tasks can be costly, time-consuming, and emotionally draining. While recent work suggests that LLMs can perform such annot…

cs.CL2024★ 1 cited

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities

Wenyue Hua, Kaijie Zhu, Lingyao Li +7

This study intends to systematically disentangle pure logic reasoning and text understanding by investigating the contrast across abstract and contextualized logical problems from…

cs.ET2024★ 21 cited

A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)

Lingyao Li, Jiayan Zhou, Zhenxiang Gao +8

Electronic Health Records (EHRs) play an important role in the healthcare system. However, their complexity and vast volume pose significant challenges to data interpretation and a…

cs.HC2024

BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis

Shuhang Lin, Wenyue Hua, Lingyao Li +7

This paper presents BattleAgent, an emulation system that combines the Large Vision-Language Model and Multi-agent System. This novel system aims to simulate complex dynamic intera…

cs.DL2024★ 2 cited

Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis

Huizi Yu, Lizhou Fan, Lingyao Li +9

Large Language Models (LLMs) have rapidly become important tools in Biomedical and Health Informatics (BHI), enabling new ways to analyze data, treat patients, and conduct research…

cs.CL2024★ 1 cited

NPHardEval4V: Dynamic Evaluation of Large Vision-Language Models with Effects of Vision

Xiang Li, Wenyue Hua, Kaijie Zhu +8

Large Vision-Language Models (LVLMs) have demonstrated impressive capabilities in multimodal understanding, yet their reasoning abilities remain underexplored. Existing benchmarks…

cs.CY2024★ 4 cited

Landscape of Generative AI in Global News: Topics, Sentiments, and Spatiotemporal Analysis

Lu Xian, Lingyao Li, Yiwei Xu +2

Generative AI has exhibited considerable potential to transform various industries and public life. The role of news media coverage of generative AI is pivotal in shaping public pe…