1 | 1 TL;DR : A reader is augmented with a growing notebook that caches all edits in natural texts, and the reader retrieves relevant edits and make inference based on them. This achieves SOTA in model editing in QA and fact checking.
1 I can't believe I haven't read this until now. This is mind provoking, and the result is an important step towards understanding neural networks.
1 TLDR: Propose ActAdd , a method for controlling model behavior during inference by modifying activations with a bias term that is learned from a pair of prompt. Summary: Propose ActAdd , a method for controlling model behavior by modifying activations at inference time. Steering vectors are computed by taking the ...
I will be holding a seminar at ModelBest (面壁智能) in Sep 20, 2023 in Beijing, Haidian, 科技园. The seminar will be in Chinese, and it's called "大模型安全与伦理问题" (translation: Safety and Ethical Concerns of Large Language Models). Below is a list of references.
1 | 1 | 1 | 1 I did this work with my girlfriend, whose research direction is computational fluid dynamics (CFD). We observed that there are numerous research works in applying deep learning (DL) to solve CFD problems. E.g., 1 have shown that DL methods can not only be more accurate than the best numerical methods, ...
A binary search with C++: The same thing with Rust: And with Python: