Categories: AI/ML News

How to use large language models and knowledge graphs to manage enterprise data

By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable.Read More

Multilingual Knowledge Transfer under Data Constraints via Lexical Interventions

Cross-lingual knowledge transfer is critical for building high-performing multilingual language models for languages with insufficient training data. When target language data is scarce, the knowledge required for many downstream tasks involving scientific reasoning, commonsense inference, and world knowledge must be acquired primarily from the high-resource language, making effective knowledge transfer…

August 21, 2026

In "FAANG"

Semantic Mastery: Enhancing LLMs with Advanced Natural Language Understanding

Large language models (LLMs) have greatly improved their capability in performing NLP tasks. However, deeper semantic understanding, contextual coherence, and more subtle reasoning are still difficult to obtain. The paper discusses state-of-the-art methodologies that advance LLMs with more advanced NLU techniques, such as semantic parsing, knowledge integration, and contextual reinforcement…

December 10, 2025

In "FAANG"