Comprehensive Tutorials on GraphRAG: A Beginner's Guide to Leveraging Knowledge Graphs for Retrieval-Augmented Generation
This article provides a comprehensive set of tutorials to help beginners understand and get started with GraphRAG, an advanced version of Retrieval-Augmented Generation (RAG) that leverages Knowledge Graphs instead of vector databases.
The Unprecedented Rise and Enduring Impact of the Star Wars Fandom: A Data-Driven Exploration
The Star Wars franchise has cultivated one of the most dedicated and influential fan communities in entertainment history, driven by its innovative business model and captivating storytelling.
宇宙探査から QR コードまで: リード・ソロモン符号の仕組み
リード・ソロモン符号は、ノイズの多い環境でも確実にデータを伝送できる強力な誤り訂正符号である。宇宙探査や QR コードなど、私たちの生活に深く関わっている。
Adapting Large Language Models to Solve Diverse Networking Tasks
This work presents NetLLM, the first unified framework that efficiently adapts large language models (LLMs) to solve various networking tasks, addressing key challenges in LLM adaptation for networking.
Whispy: Enabling Real-Time Transcription with Whisper Models
Whispy is a system designed to bring live transcription capabilities to the state-of-the-art Whisper speech recognition models, enabling real-time processing of audio streams while maintaining high accuracy.
CXL 메모리 확장기에서 저비용 범용 근접 데이터 처리
CXL 메모리 확장기에서 저비용 범용 근접 데이터 처리 기술을 제안하여 다양한 애플리케이션에서 최대 128배의 성능 향상과 최대 87.9%의 에너지 절감을 달성한다.
Comprehensive Dataset of Bluesky Social Platform: Insights into User Behavior, Content Dynamics, and Algorithmic Curation
This work introduces a comprehensive dataset of the Bluesky Social platform, covering over 4 million user accounts, 235 million posts, and various interaction data. The dataset enables unprecedented analysis of online behavior, content diffusion, and the effects of algorithmic curation on user engagement.
그래프와 대규모 언어 모델의 통합: 진행 상황과 미래 방향에 대한 종합적 조사
그래프 데이터와 대규모 언어 모델(LLM)의 통합은 다양한 그래프 관련 작업에서 뛰어난 성과를 보이고 있다. 이 논문에서는 LLM이 그래프 학습에 어떤 역할을 하는지 체계적으로 분석하고 있다.
An Efficient All-round Recommender System Leveraging Large Language Models and Collaborative Filtering
The proposed A-LLMRec framework efficiently combines the collaborative knowledge from a pre-trained state-of-the-art collaborative filtering recommender system with the textual knowledge from a large language model, enabling superior performance in both cold and warm scenarios.
절대, 상대 및 회전 위치 임베딩에 대한 종합적인 요약
위치 임베딩은 순서 정보를 포함하여 트랜스포머 모델에 도입되었다. 절대, 상대 및 회전 위치 임베딩은 각각 고유한 특성과 장단점을 가지고 있다.
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