Summary of Explainable Multi-modal Data Exploration in Natural Language Via Llm Agent, by Farhad Nooralahzadeh et al.
Explainable Multi-Modal Data Exploration in Natural Language via LLM Agent
by Farhad Nooralahzadeh, Yi Zhang, Jonathan Furst, Kurt Stockinger
First submitted to arxiv on: 24 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper addresses a long-standing gap in querying large-scale multi-modal databases by combining structured data from databases with unstructured data from text documents, images, and videos. The authors propose an innovative approach to translate natural language questions into database queries that can also handle image-based queries. By integrating multimodal data exploration with database systems, the proposed method enables efficient query processing and retrieval of relevant information from diverse sources. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine a world where you can ask a simple question like “What are the symptoms of COVID-19?” and get a comprehensive answer from multiple sources – medical journals, hospital records, and even images. That’s what this paper is all about! It aims to bridge the gap between natural language queries and database systems by allowing users to ask questions that involve not just text but also images. This could revolutionize how we search for information in various fields like healthcare, business, or education. |
Keywords
» Artificial intelligence » Multi modal
