Papers with RHO

1 papers
RHO: Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding (2023.findings-acl)

Copied to clipboard

Challenge: Existing knowledge-grounded dialogue systems generate accurate and informative responses, but they are prone to hallucination problems.
Approach: They propose a method to generate hallucinated responses using knowledge graphs . they propose local knowledge grounding to combine textual embeddings with corresponding KG embeddments . a global knowledge ground technique is also proposed to equip RHO with multi-hop reasoning abilities .
Outcome: The proposed approach outperforms state-of-the-art methods on automatic and human evaluation by a large margin.

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