mlsanityData to 7 Oct 2026

Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency

arXiv 2402.19366 ↗First posted 29 Feb 2024cs.CR cs.AIcited by 7

Not on the map. Why?

Abstract (arXiv)

The ever-increasing workload of digital forensic labs raises concerns about law enforcement's ability to conduct both cyber-related and non-cyber-related investigations promptly. Consequently, this article explores the potential and usefulness of integrating Large Language Models (LLMs) into digital forensic investigations to address challenges such as bias, explainability, censorship, resource-intensive infrastructure, and ethical and legal considerations. A comprehensive literature review is carried out, encompassing existing digital forensic models, tools, LLMs, deep learning techniques, and the use of LLMs in investigations. The review identifies current challenges within existing digital forensic processes and explores both the obstacles and the possibilities of incorporating LLMs. In conclusion, the study states that the adoption of LLMs in digital forensics, with appropriate constraints, has the potential to improve investigation efficiency, improve traceability, and alleviate the technical and judicial barriers faced by law enforcement entities.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 118 of its 217 references that are in the map. First posted on arXiv 29 Feb 2024.

Builds on

118 of 217 references.

References · 118

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  4. 2020Language Models are Few-Shot Learnerscited by 32,199
  5. 2023GPT-4 Technical Reportcited by 18,132
  6. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  7. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
  8. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  9. 2021Evaluating Large Language Models Trained on Codecited by 8,053
  10. 2023Visual Instruction Tuningcited by 7,792
  11. 2023BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Modelscited by 6,069
  12. 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,304
38 more
  1. 2023Improved Baselines with Visual Instruction Tuningcited by 4,362
  2. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,346
  3. 2022Flamingo: a Visual Language Model for Few-Shot Learningcited by 4,337
  4. 2021Zero-Shot Text-to-Image Generationcited by 4,276
  5. 2023Reflexion: Language Agents with Verbal Reinforcement Learningcited by 4,064
  6. 2021Program Synthesis with Large Language Modelscited by 3,509
  7. 2023QLoRA: Efficient Finetuning of Quantized LLMscited by 3,355
  8. 2023Universal and Transferable Adversarial Attacks on Aligned Language Modelscited by 2,914
  9. 2023MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Modelscited by 2,689
  10. 2023A Survey on Large Language Model based Autonomous Agentscited by 2,203
  11. 2019Fine-Tuning Language Models from Human Preferencescited by 2,124
  12. 2023Code Llama: Open Foundation Models for Codecited by 2,105
  13. 2023Voyager: An Open-Ended Embodied Agent with Large Language Modelscited by 2,081
  14. 2022Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelscited by 1,970
  15. 2023AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversationcited by 1,906
  16. 2023ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIscited by 1,880
  17. 2022Competition-Level Code Generation with AlphaCodecited by 1,427
  18. 2022Least-to-Most Prompting Enables Complex Reasoning in Large Language Modelscited by 1,397
  19. 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Societycited by 1,348
  20. 2023Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generationcited by 1,332
  21. 2023A Survey on Evaluation of Large Language Modelscited by 1,227
  22. 2022LaMDA: Language Models for Dialog Applicationscited by 1,218
  23. 2023Kosmos-2: Grounding Multimodal Large Language Models to the Worldcited by 1,075
  24. 2022Large Language Models Are Human-Level Prompt Engineerscited by 1,020
  25. 2023ChatDev: Communicative Agents for Software Developmentcited by 893
  26. 2021CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generationcited by 890
  27. 2022CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesiscited by 876
  28. 2019DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generationcited by 842
  29. 2023Vision-Language Models for Vision Tasks: A Surveycited by 834
  30. 2023StarCoder: may the source be with you!cited by 790
  31. 2024Large Language Model based Multi-Agents: A Survey of Progress and Challengescited by 752
  32. 2023Can Large Language Models Be an Alternative to Human Evaluations?cited by 729
  33. 2023WizardCoder: Empowering Code Large Language Models with Evol-Instructcited by 728
  34. 2023Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Modelscited by 659
  35. 2023A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPTcited by 612
  36. 2023ChemCrow: Augmenting large-language models with chemistry toolscited by 609
  37. 2023Active Retrieval Augmented Generationcited by 506
  38. 2023VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Taskscited by 499

50 most cited of 118 All 118 (JSON)

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 3; 2026: 4.

7 papers.

  1. 2025Digital Forensics in the Age of Large Language Modelscited by 10
  2. 2025Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applicationscited by 4
  3. 2026Evaluating the Reliability of Digital Forensic Evidence Discovered by Large Language Model: A Case Studycited by 1
  4. 2025Chances and Challenges of the Model Context Protocol in Digital Forensics and Incident Responsecited by 0
  5. 2026Probing Cultural Signals in Large Language Models through Author Profilingcited by 0
  6. 2026Earth Science Foundation Models: From Perception to Reasoning and Discoverycited by 0
  7. 2026Bridging the Modality Gap in Forensic Image Retrievalcited by 0