From the 4 of 142 papers with an AI index.
80 citations
- National University of SingaporeSG16 papers
- Centre for Quantum TechnologiesSG8 papers
- Agency for Science, Technology and ResearchSG7 papers
- University of Electronic Science and Technology of ChinaCN7 papers
- Beihang UniversityCN6 papers
- Chinese Academy of SciencesCN6 papers
- Hewlett Packard Enterprise (United States)US6 papers
- Shandong UniversityCN6 papers
- Zhejiang UniversityCN6 papers
- Imperial College LondonGB5 papers
- Institute for Infocomm ResearchSG5 papers
- Norwegian University of Science and TechnologyNO5 papers
5 papers · 1 filter
A Unified Framework for Context-Aware and Relation-Aware Graph Retrieval-Augmented Generation
Haoyang Zhong, Yifei Sun, Antong Zhang +3
Retrieval-Augmented Generation (RAG) has emerged as a paradigm for enhancing large language models (LLMs) with external knowledge, yet existing graph-based methods face a fundament…
A Comprehensive Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications
Wenyi Xiao, Zechuan Wang, Leilei Gan +9
With the rapid advancement of large language models (LLMs), aligning policy models with human preferences has become increasingly critical. Direct Preference Optimization (DPO) has…
GraphDx: A Cost-Aware Knowledge-Enhanced Multi-Agent Framework for Sequential Diagnosis
Shaoting Tan, Ning Liu, Yuntao Du +7
Sequential diagnosis requires balancing diagnostic accuracy against resource costs through iterative information gathering. Existing Large Language Model (LLM) approaches exhibit a…
2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing
Jay Lee, Hanqi Su, Marco Macchi +50
The evolution of artificial intelligence (AI) and machine learning (ML) is reshaping smart manufacturing by providing new capabilities for efficiency, adaptability, and autonomy ac…
From Entity-Centric to Goal-Oriented Graphs: Enhancing LLM Knowledge Retrieval in Minecraft
Jonathan Leung, Yongjie Wang, Zhiqi Shen
Large Language Models (LLMs) demonstrate impressive general capabilities but often struggle with step-by-step procedural reasoning, a critical challenge in complex interactive envi…