Results 131 to 140 of about 8,113 (297)

CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Improving Temporal Knowledge Graph Extrapolation Reasoning [PDF]

Temporal knowledge graph reasoning (TKGR) is increasingly gaining attention for its ability to extrapolate new events from historical data, thereby enriching the inherently incomplete temporal knowledge graphs.
Sun, Jinze, He, Lirong, Sheng, Yongpan
core  

Leveraging Graph Transformers for Knowledge Editing in Large Language Models

Human-Centric Intelligent Systems
Large Language Models (LLMs) have transformed natural language processing, yet their static knowledge bases present significant challenges, such as temporal obsolescence and factual inconsistencies, limiting their effectiveness in real-world applications.
Wang Gao, Xintong Li, Yize Cao, Gexia Zhang, Wuyang Yang, Gang Hu   +5 more
doaj   +1 more source

Human‐in‐the‐Loop Swarms: A Bionic Swarm Approach to Real‐World Soil Mapping

Advanced Intelligent Systems, EarlyView.
This article introduces the “Bionic Swarm,” a novel system that lowers the barriers to real‐world swarm validation by abstracting difficult hardware tasks to app‐guided human agents. We demonstrate the system's utility through the experimental validation of a geotechnical soil‐mapping swarm algorithm and show superior performance to baseline approaches
Petras Swissler, Mohammadali Rashidioun, Nicholas Sahu, Raaid Kabir, Ayodeji Aderibigbe, Oladoyin Kolawole   +5 more
wiley   +1 more source

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source

Atomic Contrastive Verification: Fine-Grained Fact-Checking via Claim Decomposition and Knowledge Graph-Grounded Contrastive Reasoning

Mathematics
Large language models (LLMs) frequently produce text that is fluent yet factually inconsistent with source documents. Detecting such inconsistency remains challenging, particularly when errors involve subtle entity substitutions, temporal distortions, or
Hyeong-Geun Kim, Tea-Sung Jun, Taeseon Lee   +2 more
doaj   +1 more source

Asymmetric Whisker‐Inspired Sensor Pairs for Enhanced Airflow Sensing on Drones

Advanced Intelligent Systems, EarlyView.
This work incorporates asymmetric cross‐sections into a whisker‐inspired sensor pair to enhance airflow sensing. By comparing signals between two offset asymmetric whiskers, the system improves flow heading estimation and identifies the presence of fan‐generated wind during quadrotor flight.
Teresa A. Kent, Lenworth Thomas, Mitra J. Hartmann, Sarah Bergbreiter   +3 more
wiley   +1 more source

A Unified Temporal Knowledge Graph Reasoning Model Towards Interpolation and Extrapolation [PDF]

Temporal knowledge graph (TKG) reasoning has two settings: interpolation reasoning and extrapolation reasoning. Both of them draw plenty of research interest and have great significance.
Li, Yitong, Wang, Ye, Chen, Kai, Yu, Han, Li, Aiping, Song, Xin   +5 more
core   +1 more source

PersonalAI: A Systematic Comparison of Knowledge Graph Storage and Retrieval Approaches for Personalized LLM Agents

IEEE Access
Personalizing language models by effectively incorporating user interaction history remains a central challenge in the development of adaptive AI systems.
Mikhail Menschikov, Dmitry Evseev, Victoria Dochkina, Ruslan Kostoev, Ilia Perepechkin, Petr Anokhin, Nikita Semenov, Evgeny Burnaev   +7 more
doaj   +1 more source

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

Advanced Intelligent Systems, EarlyView.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen, Ali Çalhan, Murtaza Cicioğlu, Oğuzhan Demiryürek   +3 more
wiley   +1 more source

Using Planning Domain Features to Facilitate Knowledge Engineering [PDF]

, 2011
This paper defines a number of features that can be used to characterize planning domains, namely domain types, relation fluency, inconsistent effects and reversible actions.
Wickler, Gerhard
core