https://github.com/s2e-lab/llm-education-survey
공식 코드Large Language Models in Computer Science Education: A Systematic Literature Review
Papers with Code 아카이브
Literature Mining
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 0
- 보존된 평가 기록
- 0
The task where the publication texts are used to mine knowledge using NLP
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sciencenlp-lab/dimb-re
공식 코드DiMB-RE: Mining the Scientific Literature for Diet-Microbiome Associations
https://github.com/sgholamian/comprehensive-software-logging-survey
공식 코드https://github.com/sm2982/meta-analysis-llms-creativity
공식 코드Generative AI and Creativity: A Systematic Literature Review and Meta-Analysis
https://github.com/social-futures-lab/skin-deep
공식 코드https://github.com/tmylla/awesome-llm4cybersecurity
공식 코드When LLMs Meet Cybersecurity: A Systematic Literature Review
https://github.com/vabatista/slr_transformers_ehr
공식 코드https://github.com/wsaccoun/convermod
공식 코드https://github.com/xinyi-hou/llm4se_slr
공식 코드Large Language Models for Software Engineering: A Systematic Literature Review
https://github.com/yaorong0921/hxai-survey
공식 코드Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
https://github.com/yueyueL/DL-based-Android-Malware-Defenses-review
공식 코드Deep Learning for Android Malware Defenses: a Systematic Literature Review
https://github.com/ait-aecid/anomaly-detection-log-datasets
https://github.com/aramis-lab/clinicadl
https://github.com/eecastillo/parkinson_analisis
Machine learning for the diagnosis of Parkinson's disease: A systematic review
https://github.com/juyongjiang/codeup
https://github.com/knowlab/bi-weekly-paper-presentation
https://github.com/mstrutov/desbordante
Numerical Association Rule Mining: A Systematic Literature Review
https://github.com/pat-jj/deepretrieval
A foundation model for human-AI collaboration in medical literature mining
https://github.com/rashmi1112/Reccomendation-System-for-E-Commerce-Application
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.