few-shot learning 1inductive reasoning 1knowledge graph completion 1large language models 1multimodal learning 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.IR2026
GARDRec: Decision-Level Graph Grounding for Large Language Model Recommendation
Yong Wang, Hongliang Sun, Jinlan Liu +4
Large language models (LLMs) offer new opportunities for recommendation by interpreting item descriptions, user instructions, and external knowledge through natural-language prompt…
cs.CL2026
Dual-Path LLM Reasoning for Multimodal Few-Shot Knowledge Graph Completion
Jinlan Liu, Zhiying Tu, Yongchao Xing +5
The paper introduces DuPLeR, a dual-path reasoning framework that combines large language model priors with multimodal signals to improve few-shot and zero-shot knowledge graph com…
cs.CL2026
SkillWiki: A Living Knowledge Infrastructure for Agent Skills
Dingcheng Huang, Yuda Ding, Bingshuo Liu +8
While knowledge is managed through Wikipedia and software through GitHub, agent skills still lack an infrastructure for large-scale production, governance, and evolution. SkillWiki…