System Report for CCL25-Eval Task 4: Factivity Inference Based on Dynamic Few-Shot Learning
This paper presents the implementation approach used in the First Chinese Factivity Inference Evaluation 2025 (FIE2025), which aims to enhance LLM’s discriminative capability by adequately integrating the task-specific information via prompts, as well as constructing dynamic few-shot datasets for fine-tuning.
Sunyan Gu, T. Lu, Siqi Liu et al.
· 1 citation