Machine Unlearning: A Survey CSUR 2023 An Introduction to Machine Unlearning arXiv 2022 Machine Unlearning: Its Need and Implementation Strategies IC3 2021 Making machine learning forget Annual Privacy Forum 2019 “Amnesia” - A Selection of Machine Learning Models That Can Forget User Data Very Fast...
A Survey of Surveys (NLP & ML) In this document, we survey hundreds of survey papers on Natural Language Processing (NLP) and Machine Learning (ML). We categorize these papers into popular topics and do simple counting for some interesting problems. In addition, we show the list of the pa...
including financial services. Despite the extensive research into general-domain LLMs, and their immense potential in finance, Financial LLM (FinLLM) research remains limited. This survey provides a comprehensive
Before responding to a user’s prompt, LLMs must build a contextual understanding of the input request known as the KV cache. This process is compute intensive and scales quadratically with the size of the input request. Reusing KV cache avoids the need to recompute it f...
"The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more 110 gohugoio/hugo Go 81.232k The world’s fastest framework for building websites. 111 ggml-org/llama.cpp C++ 81.175k LLM inference in C/C++ 112 lar...
Nonetheless, there is not a single comprehensive survey on IoTeSG based on an extensive literature study to present all the possible aspects of IoTeSG. Considering its rising need in the current situation, this article is the first attempt, to the best of our knowledge, to present a ...
that utilize emotions for misinformation detection are only very briefly touched upon, while emotion-based stance detection is not discussed. Furthermore, given the highly active nature of research in this area, there are many recently developed methods that are not included in this previous survey....
The COVID pandemic spurred the use of various metaphors, some very common and universal, others depending on the language, country and culture. The use of
Possible participants were asked to take part in the survey through an e-mail, which was send through the universities e-mail system. In total, N = 638 first-year students participated in the survey. On average, they were 20.62 years old, with a standard deviation of 2.25 years. Of...
If you discover any papers that are suitable but not included, please contact Sihao Hu (sihaohu@gatech.edu). You can also cite our survey, as we will periodically check for new papers citing it and update them into the GitHub list if related. ...