2 papers
cs.IR2026
DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware Recommendation
Xinchi Zou, Tongzhenzhi Su, Jianjun Li +4
Knowledge Graphs (KGs) have proven highly effective for recommendation systems by capturing latent item relationships, while recent integration of Large Language Models (LLMs) has…
cs.CL2025
SCIR: A Self-Correcting Iterative Refinement Framework for Enhanced Information Extraction Based on Schema
Yushen Fang, Jianjun Li, Mingqian Ding +3
Although Large language Model (LLM)-powered information extraction (IE) systems have shown impressive capabilities, current fine-tuning paradigms face two major limitations: high t…