Papers by Zhitao Yuan

2 papers
CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge (2022.acl-demo)

Copied to clipboard

Challenge: Existing methods focus on entity-centric knowledge, but CogKGE supports heterogeneous knowledge.
Approach: They propose a knowledge graph embedding toolkit to represent multi-source and heterogeneous knowledge.
Outcome: The proposed toolkit provides a unified programming framework for KGE tasks and a series of knowledge representations for downstream tasks.
Can Intelligent Agents Revolutionize Scale Generation? (2026.findings-acl)

Copied to clipboard

Challenge: Existing measurement scales require extensive manual labor and require extensive validation and validation.
Approach: They propose a multi-agent framework that automates scale development by leveraging collaborative AI agents.
Outcome: The proposed framework automates scale development while maintaining rigorous quality standards.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations