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Research & Development
A New Approach to Integrating Knowledge Graphs with Large Language Models for Enhanced Completion
TLDR: The research introduces SAT, a novel framework that improves Large Language Models (LLMs) for Knowledge Graph Completion (KGC). SAT addresses challenges like inconsistent...
Research & Development
A Modular Framework for Generating High-Quality Long-Context Data for LLMs
TLDR: This research introduces a modular and extensible framework for generating synthetic long-context data for Large Language Models (LLMs). It addresses the scarcity of...
Research & Development
Advancing 3D Vision in Endoscopy with Adaptive Depth Estimation
TLDR: A new self-supervised framework, GD-EMoDE, is proposed for monocular depth estimation in diverse endoscopic scenes. It uses a novel block-wise mixture of dynamic...
Research & Development
Smart Coordination for Edge Devices: A New Approach to Task Offloading
TLDR: This paper introduces the Decentralized Coordination via CMDPs (DCC) framework, a multi-agent reinforcement learning approach for task offloading in wireless edge networks. It...
Research & Development
Bridging Minds: How Symbolic and Generative AI Are Uniting for Smarter Knowledge Bases
TLDR: This research paper explores a hybrid approach to knowledge base management, combining symbolic AI (ontologies, expert systems, Semantic Web) with neural AI (generative...
Research & Development
Enhancing In-Car Voice Control with CabinSep: A New Era for Speech Separation
TLDR: CabinSep is a new, lightweight speech separation system for cars that significantly improves automatic speech recognition (ASR) accuracy by reducing speech distortion and...