Multilingual question answering systems for knowledge graphs–a survey
This paper presents a survey on multilingual Knowledge Graph Question Answering
(mKGQA). We employ a systematic review methodology to collect and analyze the research …
(mKGQA). We employ a systematic review methodology to collect and analyze the research …
Enhancing Financial Question Answering with a Multi-Agent Reflection Framework
While Large Language Models (LLMs) have shown impressive capabilities in numerous
Natural Language Processing (NLP) tasks, they still struggle with financial question …
Natural Language Processing (NLP) tasks, they still struggle with financial question …
Reasoning based on symbolic and parametric knowledge bases: a survey
M Xu, Y Ning, Y Li, J Chen, J Wen, Y Xiao… - arXiv preprint arXiv …, 2025 - arxiv.org
Reasoning is fundamental to human intelligence, and critical for problem-solving, decision-
making, and critical thinking. Reasoning refers to drawing new conclusions based on …
making, and critical thinking. Reasoning refers to drawing new conclusions based on …
Reinforcement Learning from Multi-role Debates as Feedback for Bias Mitigation in LLMs
Bias in LLMs can harm user experience and societal outcomes. However, current bias
mitigation methods often require intensive human feedback, lack transferability to other …
mitigation methods often require intensive human feedback, lack transferability to other …
Effective and Reliable Domain-Specific Knowledge Question Answering
Y Fang, Y Chen, Z Jiang, J Xiao… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Large language models (LLMs) serve as powerful knowledge bases, capable of embedding
knowledge from text into model parameters. However, the widespread issue of hallucination …
knowledge from text into model parameters. However, the widespread issue of hallucination …