most citedEMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation

24 citations · 50 across the 6 of their papers we have counts for

collaborators

6 papers

cs.PL2024★ 1 cited

McEval: Massively Multilingual Code Evaluation

Linzheng Chai, Shukai Liu, Jian Yang +15

Code large language models (LLMs) have shown remarkable advances in code understanding, completion, and generation tasks. Programming benchmarks, comprised of a selection of code c…

cs.CR2024★ 5 cited

SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence

Hangyuan Ji, Jian Yang, Linzheng Chai +9

To address the increasing complexity and frequency of cybersecurity incidents emphasized by the recent cybersecurity threat reports with over 10 billion instances, cyber threat int…

cs.CL2024★ 24 cited

EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation

Yinghao Zhu, Changyu Ren, Zixiang Wang +7

The integration of multimodal Electronic Health Records (EHR) data has significantly advanced clinical predictive capabilities. Existing models, which utilize clinical notes and mu…

cs.CL2024★ 1 cited

RoNID: New Intent Discovery with Generated-Reliable Labels and Cluster-friendly Representations

Shun Zhang, Chaoran Yan, Jian Yang +4

New Intent Discovery (NID) strives to identify known and reasonably deduce novel intent groups in the open-world scenario. But current methods face issues with inaccurate pseudo-la…

cs.AI2024★ 11 cited

REALM: RAG-Driven Enhancement of Multimodal Electronic Health Records Analysis via Large Language Models

Yinghao Zhu, Changyu Ren, Shiyun Xie +8

The integration of multimodal Electronic Health Records (EHR) data has significantly improved clinical predictive capabilities. Leveraging clinical notes and multivariate time-seri…

cs.CL2023★ 8 cited

MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL

Bing Wang, Changyu Ren, Jian Yang +8

Recent LLM-based Text-to-SQL methods usually suffer from significant performance degradation on "huge" databases and complex user questions that require multi-step reasoning. Moreo…