KNOWLEDGE Definition & Meaning - Merriam-Webster
knowledge, learning, erudition, scholarship mean what is or can be known by an individual or by humankind. knowledge applies to facts or ideas acquired by study, investigation, observation, or …
Knowledge-based authentication - Wikipedia
Knowledge-based authentication, commonly referred to as KBA, is a method of authentication which seeks to prove the identity of someone accessing a service
Knowledge and Uncertainty
One purpose -- quite a few thinkers would say the main purpose -- of seeking knowledge about the world is to enhance our ability to make good decisions. An item of knowledge that can make no conceivable difference with regard to anything we might do...
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Represe…
Language models (LMs) increasingly drive real-world applications that require world knowledge. However, the internal processes through which models turn data into representations of knowledge and beliefs about the world, are poorly understood. Insigh...
General Knowledge Questions Quiz: Easy-To-Hard Trivia - BuzzFeed
Oct 14, 2025 · You might think you're a jack of all trades, but this general knowledge trivia quiz, ranging from easy to hard questions, will be the the true test of how well-rounded your general knowledge ...
Quiz-based Knowledge Tracing
Knowledge tracing (KT) aims to assess individuals' evolving knowledge states according to their learning interactions with different exercises in online learning systems (OIS), which is critical in supporting decision-making for subsequent intelligen...
ModulE: Module Embedding for Knowledge Graphs
Knowledge graph embedding (KGE) has been shown to be a powerful tool for predicting missing links of a knowledge graph. However, existing methods mainly focus on modeling relation patterns, while simply embed entities to vector spaces, such as real f...
Can LLMs Refuse Questions They Do Not Know? Measuring Knowledge-Aware Refusal in Factual T…
Large Language Models (LLMs) should refuse to answer questions beyond their knowledge. This capability, which we term knowledge-aware refusal, is crucial for factual reliability. However, existing metrics fail to faithfully measure this ability. On t...
CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition
Neural networks are widely adopted, yet the integration of domain knowledge is still underutilized. We propose to integrate domain knowledge about co-occurring facial movements as a constraint in the loss function to enhance the training of neural ne...
Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize Encoded Knowledge
Large Language Models (LLMs) have recently showcased remarkable generalizability in various domains. Despite their extensive knowledge, LLMs still face challenges in efficiently utilizing encoded knowledge to develop accurate and logical reasoning pr...
EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries
The dynamic nature of real-world information necessitates efficient knowledge editing (KE) in large language models (LLMs) for knowledge updating. However, current KE approaches, which typically operate on (subject, relation, object) triples, ignore...
EtCon: Edit-then-Consolidate for Reliable Knowledge Editing
Knowledge editing aims to update specific facts in large language models (LLMs) without full retraining. Prior efforts sought to tune the knowledge layers of LLMs, achieving improved performance in controlled, teacher-forced evaluations. However, the...
TripleRE: Knowledge Graph Embeddings via Tripled Relation Vectors
Translation-based knowledge graph embedding has been one of the most important branches for knowledge representation learning since TransE came out. Although many translation-based approaches have achieved some progress in recent years, the performan...
MACO: A Modality Adversarial and Contrastive Framework for Modality-missing Multi-modal Kn…
Recent years have seen significant advancements in multi-modal knowledge graph completion (MMKGC). MMKGC enhances knowledge graph completion (KGC) by integrating multi-modal entity information, thereby facilitating the discovery of unobserved triples...
Rule2Text: Natural Language Explanation of Logical Rules in Knowledge Graphs
Knowledge graphs (KGs) often contain sufficient information to support the inference of new facts. Identifying logical rules not only improves the completeness of a knowledge graph but also enables the detection of potential errors, reveals subtle da...
Knowledge Retrieval With Functional Object-Oriented Networks
In this experiment, three different search algorithms are implemented for the purpose of extracting a task tree from a large knowledge graph, known as the Functional Object-Oriented Network (FOON). Using a universal FOON, which contains knowledge ext...
Tax Knowledge Graph for a Smarter and More Personalized TurboTax
Most knowledge graph use cases are data-centric, focusing on representing data entities and their semantic relationships. There are no published success stories to represent large-scale complicated business logic with knowledge graph technologies. In...
LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT
Knowledge Graphs (KG) provide us with a structured, flexible, transparent, cross-system, and collaborative way of organizing our knowledge and data across various domains in society and industrial as well as scientific disciplines. KGs surpass any ot...
No One is Perfect: Analysing the Performance of Question Answering Components over the DBp…
Question answering (QA) over knowledge graphs has gained significant momentum over the past five years due to the increasing availability of large knowledge graphs and the rising importance of question answering for user interaction. DBpedia has been...
Interpolation in Knowledge Representation
Craig interpolation and uniform interpolation have many applications in knowledge representation, including explainability, forgetting, modularization and reuse, and even learning. At the same time, many relevant knowledge representation formalisms d...