mlsanityData to 14 Oct 2026

SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language Model

arXiv 2408.06574 ↗First posted 13 Aug 2024cs.CLcited by 1

On the map: Retrieval-augmented generation → Agentic RAG, agents and memory

Abstract (arXiv)

Large language models (LLMs) have shown remarkable achievements across various language tasks.To enhance the performance of LLMs in scientific literature services, we developed the scientific literature LLM (SciLit-LLM) through pre-training and supervised fine-tuning on scientific literature, building upon the iFLYTEK Spark LLM. Furthermore, we present a knowledge service system Spark Research Assistant (SparkRA) based on our SciLit-LLM. SparkRA is accessible online and provides three primary functions: literature investigation, paper reading, and academic writing. As of July 30, 2024, SparkRA has garnered over 50,000 registered users, with a total usage count exceeding 1.3 million.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in Agentic RAG, agents and memory, one of 15 directions in Retrieval-augmented generation. Builds on 15 of its 25 references that are in the map. First posted on arXiv 13 Aug 2024.

Builds on

15 of 25 references.

References · 15

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  3. 2020Language Models are Few-Shot Learnerscited by 32,419
  4. 2022Training language models to follow instructions with human feedbackcited by 15,971
  5. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  6. 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,326
  7. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
  8. 2021Finetuned Language Models Are Zero-Shot Learnerscited by 3,780
  9. 2022Self-Instruct: Aligning Language Models with Self-Generated Instructionscited by 2,724
  10. 2019BioBERT: a pre-trained biomedical language representation model for biomedical text miningcited by 1,947
  11. 2019SciBERT: A Pretrained Language Model for Scientific Textcited by 1,414
  12. 2022Galactica: A Large Language Model for Sciencecited by 744
3 more
  1. 2023Benchmarking Large Language Models in Retrieval-Augmented Generationcited by 312
  2. 2020BioMegatron: Larger Biomedical Domain Language Modelcited by 76
  3. 2023Improving Retrieval-Augmented Large Language Models via Data Importance Learningcited by 17

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026CE-GOCD: Central Entity-Guided Graph Optimization for Community Detection to Augment LLM Scientific Question Answeringcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025The Empowerment of Science of Science by Large Language Models: New Tools and Methods
  2. 2026Do We Need Bigger Models for Science? Task-Aware Retrieval with Small Language Models
  3. 2023RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit
  4. 2025What's In Your Field? Mapping Scientific Research with Knowledge Graphs and Large Language Models
  5. 2025Spark: A System for Scientifically Creative Idea Generation
  6. 2024BibSonomy Meets ChatLLMs for Publication Management: From Chat to Publication Management: Organizing your related work using BibSonomy & LLMs ↗
  7. 2024ResearchArena: Benchmarking Large Language Models' Ability to Collect and Organize Information as Research Agents
  8. 2026AnalyticsGPT: An LLM Workflow for Scientometric Question Answering