Improving factual consistency for knowledge-grounded dialogue systems via knowledge enhancement and alignment

B Xue, W Wang, H Wang, F Mi, R Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Pretrained language models (PLMs) based knowledge-grounded dialogue systems are
prone to generate responses that are factually inconsistent with the provided knowledge …

JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning

WC Kwan, H Wang, H Wang, Z Wang, X Wu… - arXiv preprint arXiv …, 2023 - arxiv.org
Dialogue policy learning (DPL) is a crucial component of dialogue modelling. Its primary role
is to determine the appropriate abstract response, commonly referred to as the" dialogue …

SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation

M Hu, L Zong, H Wang, J Zhou, J Li, Y Gao… - Findings of the …, 2024 - aclanthology.org
Abstract Large Language Models (LLMs) have shown great potential in the biomedical
domain with the advancement of retrieval-augmented generation (RAG). However, existing …

Improving Low-Resource Machine Translation Using Reinforcement Learning from Human Feedback.

L Wang, Y Xiao - Intelligent Automation & Soft Computing, 2024 - search.ebscohost.com
Abstract Neural Machine Translation is one of the key research directions in Natural
Language Processing. However, limited by the scale and quality of parallel corpus, the …

Enhancing Biomedical Knowledge Retrieval-Augmented Generation with Self-Rewarding Tree Search and Proximal Policy Optimization

M Hu, L Zong, H Wang, J Zhou, J Li, Y Gao… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) have shown great potential in the biomedical domain with
the advancement of retrieval-augmented generation (RAG). However, existing retrieval …

KddRES: A Multi-level Knowledge-driven Dialogue Dataset for Restaurant Towards Customized Dialogue System

H Wang, WC Kwan, M Li, Z Zhou, KF Wong - Computer Speech & …, 2024 - Elsevier
To alleviate the shortage of dialogue datasets for Cantonese, one of the low-resource
languages, and facilitate the development of customized task-oriented dialogue systems, we …