REACT-LLM: A Benchmark for Evaluating LLM Integration with Causal Features in Clinical Prognostic Tasks

Linna Wang; Zhixuan You; Qihui Zhang; Jiunan Wen; Ji Shi; Yimin Chen; Yusen Wang; Fanqi Ding

AAAI 2026technical0 citations

REACT-LLM: A Benchmark for Evaluating LLM Integration with Causal Features in Clinical Prognostic Tasks

Linna Wang, Zhixuan You, Qihui Zhang, Jiunan Wen, Ji Shi, Yimin Chen, Yusen Wang, Fanqi Ding

Abstract

Large Language Models (LLMs) and causal learning each hold strong potential for clinical decision making (CDM). However, their synergy remains poorly understood, largely due to the lack of systematic benchmarks evaluating their integration in clinical risk prediction. In real-world healthcare, identifying features with causal influence on outcomes is crucial for actionable and trustworthy predictions. While recent work highlights LLMs

BibTeX

@inproceedings{aaai2026_reactllmabenchma,
  title = {REACT-LLM: A Benchmark for Evaluating LLM Integration with Causal Features in Clinical Prognostic Tasks},
  author = {Linna Wang and Zhixuan You and Qihui Zhang and Jiunan Wen and Ji Shi and Yimin Chen and Yusen Wang and Fanqi Ding and Ziliang Feng and Li Lu},
  booktitle = {AAAI 2026},
  year = {2026}
}