Counterfactual-based Cognitive Alignment In-Context Learning for Relation Extraction

Qibin Li; Shengyuan Bai; Nai Zhou; Nianmin Yao

AAAI 2026technical0 citations

Counterfactual-based Cognitive Alignment In-Context Learning for Relation Extraction

Qibin Li, Shengyuan Bai, Nai Zhou, Nianmin Yao

Abstract

Large Language Models (LLMs) have demonstrated remarkable In-Context learning (ICL) capabilities for relation extraction (RE). While ICL has shown promise in RE tasks, current approaches face challenges in example selection and utilization. These challenges stem from the misalignment between example selection methods and LLMs

BibTeX

@inproceedings{aaai2026_counterfactualba,
  title = {Counterfactual-based Cognitive Alignment In-Context Learning for Relation Extraction},
  author = {Qibin Li and Shengyuan Bai and Nai Zhou and Nianmin Yao},
  booktitle = {AAAI 2026},
  year = {2026}
}