Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation

G Han, D Jo, D Nam, E Yoon, T Kwon… - Findings of the …, 2023 - aclanthology.org
Abstract Knowledge-grounded dialogue generation requires first retrieving appropriate
external knowledge based on a conversational context and then generating a response …

KCTS: knowledge-constrained tree search decoding with token-level hallucination detection

S Choi, T Fang, Z Wang, Y Song - arXiv preprint arXiv:2310.09044, 2023 - arxiv.org
Large Language Models (LLMs) have demonstrated remarkable human-level natural
language generation capabilities. However, their potential to generate misinformation, often …

Enhancing Knowledge Selection via Multi-level Document Semantic Graph

RH Zhang, T Yongmei - … of the 2024 Joint International Conference …, 2024 - aclanthology.org
Abstract Knowledge selection is a crucial sub-task of Document Grounded Dialogue System.
Existing methods view knowledge selection as a sentence matching or classification …