5 papers
Evidence-Enhanced Triplet Generation Framework for Hallucination Alleviation in Generative Question Answering
Haowei Du, Huishuai Zhang, Dongyan Zhao
To address the hallucination in generative question answering (GQA) where the answer can not be derived from the document, we propose a novel evidence-enhanced triplet generation f…
In-Context Learning with Reinforcement Learning for Incomplete Utterance Rewriting
Haowei Du, Dongyan Zhao
In-context learning (ICL) of large language models (LLMs) has attracted increasing attention in the community where LLMs make predictions only based on instructions augmented with…
Internal and External Knowledge Interactive Refinement Framework for Knowledge-Intensive Question Answering
Haowei Du, Dongyan Zhao
Recent works have attempted to integrate external knowledge into LLMs to address the limitations and potential factual errors in LLM-generated content. However, how to retrieve the…
Cross-Lingual Question Answering over Knowledge Base as Reading Comprehension
Chen Zhang, Yuxuan Lai, Yansong Feng +3
Although many large-scale knowledge bases (KBs) claim to contain multilingual information, their support for many non-English languages is often incomplete. This incompleteness giv…
Knowledge-enhanced Iterative Instruction Generation and Reasoning for Knowledge Base Question Answering
Haowei Du, Quzhe Huang, Chen Zhang +1
Multi-hop Knowledge Base Question Answering(KBQA) aims to find the answer entity in a knowledge base which is several hops from the topic entity mentioned in the question. Existing…