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WeKnow-RAG: An Adaptive Approach for Retrieval-Augmented Generation Integrating Web Search and Knowledge Graphs (2408.07611v2)

Published 14 Aug 2024 in cs.CL and cs.IR
WeKnow-RAG: An Adaptive Approach for Retrieval-Augmented Generation Integrating Web Search and Knowledge Graphs

Abstract: LLMs have greatly contributed to the development of adaptive intelligent agents and are positioned as an important way to achieve AGI. However, LLMs are prone to produce factually incorrect information and often produce "phantom" content that undermines their reliability, which poses a serious challenge for their deployment in real-world scenarios. Enhancing LLMs by combining external databases and information retrieval mechanisms is an effective path. To address the above challenges, we propose a new approach called WeKnow-RAG, which integrates Web search and Knowledge Graphs into a "Retrieval-Augmented Generation (RAG)" system. First, the accuracy and reliability of LLM responses are improved by combining the structured representation of Knowledge Graphs with the flexibility of dense vector retrieval. WeKnow-RAG then utilizes domain-specific knowledge graphs to satisfy a variety of queries and domains, thereby improving performance on factual information and complex reasoning tasks by employing multi-stage web page retrieval techniques using both sparse and dense retrieval methods. Our approach effectively balances the efficiency and accuracy of information retrieval, thus improving the overall retrieval process. Finally, we also integrate a self-assessment mechanism for the LLM to evaluate the trustworthiness of the answers it generates. Our approach proves its outstanding effectiveness in a wide range of offline experiments and online submissions.

An Overview of the ACM Consolidated Article Template

The paper "The Name of the Title Is Hope" presents an in-depth examination and instructional guide for the ACM (Association for Computing Machinery) consolidated article template, which is encapsulated within the "acmart" document class. This template was introduced in 2017 to provide a uniform \LaTeX\ style for ACM's broad spectrum of publications, including conferences and journals. The authors, Ben Trovato, G.K.M. Tobin, Lars Th{\o}rv{\"a}ld, and several others, contribute to elucidating the various customizable elements within the template, ensuring its utility across diverse documentation requirements.

Introduction

The paper begins by acknowledging the consistent style that the "acmart" document class offers, addressing not only the formatting needs of different ACM publications but also incorporating accessibility and metadata functionalities necessary for future Digital Library endeavors. It is suitable for both newcomers and seasoned authors within the ACM publishing ecosystem.

Template Overview

The document class "acmart" is versatile, catering to a range of documentation types from double-anonymous technical papers to SIGGRAPH Emerging Technologies abstracts. The template's primary feature is its ability to adapt to different types of ACM publications through various template styles, such as "acmsmall" for most journals, "acmlarge" for JOCCH and TAP, and "acmtog" for TOG. For conference proceedings, styles like "sigconf," "sigchi," and "sigplan" are prevalent.

Template Parameters

In addition to template styles, "acmart" supports multiple parameters to modify its appearance and functionality. Common parameters include:

  • anonymous,review: For double-anonymous conference submissions, anonymizing the work and including line numbers.
  • authorversion: Suitable for authors posting their own version.
  • screen: Produces colored hyperlinks.

Prohibitions on Modifications

The paper explicitly prohibits unauthorized modifications to the template, such as adjusting margins, typeface sizes, or inserting vertical spacing manually. This ensures consistency and uniformity across publications.

Typeface Requirements

The document enforces the use of the "Libertine" typeface family, discouraging substitutions with other typefaces such as "lmodern" and "ltimes," which could override the built-in set.

Authors and Affiliations

Authors must be defined individually for accurate metadata. Full names and email addresses are required, ensuring proper identification and contact information. A shortened list of authors should be provided for use in page headers to prevent text overlap.

Rights Management

Each published work by ACM necessitates the completion of a rights form, influencing the inclusion of specific \LaTeX\ commands within the document source. These commands manage the "ACM Reference Format" text, "rights management" text, and conference information in headers.

Sectioning, Tables, and Figures

The paper underscores the importance of using standard \LaTeX\ sectioning commands for proper document structure and the "booktabs" package for high-quality tables. Figures require captions and descriptions, complying with accessibility guidelines.

Citations and Bibliographies

The use of BibTeX for references is advocated, emphasizing full names and comprehensive reference details. Citations are typically numbered, with the "author year" style utilized for specific publications.

Acknowledgments and Appendices

Acknowledgments should be formatted within the "acks" environment, facilitating metadata extraction. Appendices, if necessary, are to be added using the "appendix" command, with sections lettered accordingly.

Implications and Future Developments

The standardization provided by the "acmart" document class plays a crucial role in maintaining documentation consistency across ACM publications. This uniformity not only aids in the readability and professional presentation of papers but also facilitates automated metadata extraction and indexing, enhancing the discoverability and accessibility of research outputs. Future developments could further refine template adaptability and integration with other digital tools, streamlining the publication process for authors and editors alike.

In summary, the paper serves as a comprehensive guide for utilizing the "acmart" document class, detailing its features, parameters, and the rigorous standards set forth by ACM for publication consistency and quality.

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Authors (6)
  1. Weijian Xie (10 papers)
  2. Xuefeng Liang (10 papers)
  3. Yuhui Liu (7 papers)
  4. Kaihua Ni (1 paper)
  5. Hong Cheng (74 papers)
  6. Zetian Hu (2 papers)
Citations (1)
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