mlsanityData to 7 Oct 2026

ELLA: Empowering LLMs for Interpretable, Accurate and Informative Legal Advice

arXiv 2408.07137 ↗First posted 13 Aug 2024cs.CLcited by 5

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Abstract (arXiv)

Despite remarkable performance in legal consultation exhibited by legal Large Language Models(LLMs) combined with legal article retrieval components, there are still cases when the advice given is incorrect or baseless. To alleviate these problems, we propose bf ELLA, a tool for bf Empowering bf LLMs for interpretable, accurate, and informative bf Legal bf Advice. ELLA visually presents the correlation between legal articles and LLM's response by calculating their similarities, providing users with an intuitive legal basis for the responses. Besides, based on the users' queries, ELLA retrieves relevant legal articles and displays them to users. Users can interactively select legal articles for LLM to generate more accurate responses. ELLA also retrieves relevant legal cases for user reference. Our user study shows that presenting the legal basis for the response helps users understand better. The accuracy of LLM's responses also improves when users intervene in selecting legal articles for LLM. Providing relevant legal cases also aids individuals in obtaining comprehensive information.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 10 of its 17 references that are in the map. First posted on arXiv 13 Aug 2024.

Builds on

10 of 17 references.

References · 10

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  2. 2022GLM-130B: An Open Bilingual Pre-trained Modelcited by 837
  3. 2024SaulLM-7B: A pioneering Large Language Model for Lawcited by 136
  4. 2023Large Language Models in Law: A Surveycited by 128
  5. 2023DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Servicescited by 117
  6. 2023SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrievalcited by 61
  7. 2023A Brief Report on LawGPT 1.0: A Virtual Legal Assistant Based on GPT-3cited by 46
  8. 2023Explaining Legal Concepts with Augmented Large Language Models (GPT-4)cited by 39
  9. 2023Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Taskcited by 23
  10. 2023CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encodingcited by 14

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 4.

5 papers.

  1. 2026Topics as Proxies for Sociodemographics: How Conversational Context Affects LLM Answerscited by 1
  2. 2025ALOHA: Empowering Multilingual Agent for University Orientation with Hierarchical Retrievalcited by 0
  3. 2026Legal Experts Disagree With Rationale Extraction Techniques for Explaining ECtHR Case Outcome Classificationcited by 0
  4. 2026When Rules Learn: A Self-Evolving Agent for Legal Case Retrievalcited by 0
  5. 2026LawCompass: Navigating from Legal QA to Multi-Agent Deep Research with Grounded Evidencecited by 0