๐ŸŽ“How I Study AIHISA
๐Ÿ“–Read
๐Ÿ“„Papers๐Ÿ“ฐBlogs๐ŸŽฌCourses
๐Ÿ’กLearn
๐Ÿ›ค๏ธPaths๐Ÿ“šTopics๐Ÿ’กConcepts๐ŸŽดShorts
๐ŸŽฏPractice
๐Ÿ“Daily Log๐ŸŽฏPrompts๐Ÿง Review
SearchSettings
How I Study AI - Learn AI Papers & Lectures the Easy Way

Papers2

AllBeginnerIntermediateAdvanced
All SourcesarXiv
#spectral analysis

Transformers converge to invariant algorithmic cores

Intermediate
Joshua S. SchiffmanFeb 26arXiv

Different transformers may have very different weights, but they often hide the same tiny "engine" inside that actually does the task.

#algorithmic cores#mechanistic interpretability#transformers

Evaluating Parameter Efficient Methods for RLVR

Intermediate
Qingyu Yin, Yulun Wu et al.Dec 29arXiv

The paper asks which small, add-on training tricks (PEFT) work best when we teach language models with yes/no rewards we can check (RLVR).

#RLVR#parameter-efficient fine-tuning#LoRA