Can knowledge graphs reduce hallucinations in llms?: A survey
The contemporary LLMs are prone to producing hallucinations, stemming mainly from the
knowledge gaps within the models. To address this critical limitation, researchers employ …
knowledge gaps within the models. To address this critical limitation, researchers employ …
Unifying large language models and knowledge graphs: A roadmap
Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the
field of natural language processing and artificial intelligence, due to their emergent ability …
field of natural language processing and artificial intelligence, due to their emergent ability …
A survey of knowledge graph reasoning on graph types: Static, dynamic, and multi-modal
Knowledge graph reasoning (KGR), aiming to deduce new facts from existing facts based on
mined logic rules underlying knowledge graphs (KGs), has become a fast-growing research …
mined logic rules underlying knowledge graphs (KGs), has become a fast-growing research …
Knowledge graphs for the life sciences: Recent developments, challenges and opportunities
The term life sciences refers to the disciplines that study living organisms and life processes,
and include chemistry, biology, medicine, and a range of other related disciplines. Research …
and include chemistry, biology, medicine, and a range of other related disciplines. Research …
FolkScope: Intention knowledge graph construction for E-commerce commonsense discovery
Understanding users' intentions in e-commerce platforms requires commonsense
knowledge. In this paper, we present FolkScope, an intention knowledge graph construction …
knowledge. In this paper, we present FolkScope, an intention knowledge graph construction …
Scene-Driven Multimodal Knowledge Graph Construction for Embodied AI
Embodied AI is one of the most popular studies in artificial intelligence and robotics, which
can effectively improve the intelligence of real-world agents (ie robots) serving human …
can effectively improve the intelligence of real-world agents (ie robots) serving human …
Mocosa: Momentum contrast for knowledge graph completion with structure-augmented pre-trained language models
Knowledge Graph Completion (KGC) aims to conduct reasoning on the facts within
knowledge graphs and automatically infer missing links. Existing methods can mainly be …
knowledge graphs and automatically infer missing links. Existing methods can mainly be …
Commonsense knowledge salience evaluation with a benchmark dataset in E-commerce
In e-commerce, the salience of commonsense knowledge (CSK) is beneficial for widespread
applications such as product search and recommendation. For example, when users search …
applications such as product search and recommendation. For example, when users search …
LollipopE: Bi-centered lollipop embedding for complex logic query on knowledge graph
S Yan, C Tian, Z Zhang, G Xu - Neural Networks, 2024 - Elsevier
Abstract Answering complex First-Order Logic (FOL) query plays a vital role in multi-hop
knowledge graph (KG) reasoning. Geometric methods have emerged as a promising …
knowledge graph (KG) reasoning. Geometric methods have emerged as a promising …
Scene-Driven Multimodal Knowledge Graph Construction for Embodied AI
S Yaoxian, S Penglei, L Haoyu, L Zhixu, S Wei… - arXiv preprint arXiv …, 2023 - arxiv.org
Embodied AI is one of the most popular studies in artificial intelligence and robotics, which
can effectively improve the intelligence of real-world agents (ie robots) serving human …
can effectively improve the intelligence of real-world agents (ie robots) serving human …