Diffusion Models: A Comprehensive Survey of Methods and Applications: https://arxiv.org/abs/2209.00796
HRT tech blogs:
Modeling Equities Returns: The Linear Case: https://www.hudsonrivertrading.com/hrtbeat/modeling-equities-returns/
Factor Model: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1024709
How HRT Thinks About Data: https://www.hudsonrivertrading.com/hrtbeat/how-hrt-thinks-about-data/
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention: https://arxiv.org/abs/2006.16236
Attention Is All You Need: https://arxiv.org/abs/2006.16236
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration: https://arxiv.org/abs/2306.00978
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks: https://arxiv.org/abs/2005.11401
Training language models to follow instructions with human feedback: https://arxiv.org/abs/2203.02155
A very nice financial math course by UChicago: https://galton.uchicago.edu/~lalley/Courses/390/
A friendly introduction to symplectic geometry: http://staff.ustc.edu.cn/~wangzuoq/Courses/15S-Symp/SympGeom.html
Variational integrators: https://www.cds.caltech.edu/~marsden/bib/2001/09-MaWe2001/MaWe2001.pdf
Port-Hamiltonian systems: https://ris.utwente.nl/ws/portalfiles/portal/5386843/ICMvanderSchaft.pdf
Bunch of interesting dice problems:
A Collection of Dice Problems: https://www.madandmoonly.com/doctormatt/mathematics/dice1.pdf
I recommend this guy's homepage for quant-related interview problems
https://www.xiaohongshu.com/user/profile/60a0780e000000000101ecd1
Feynman integration trick: https://web.williams.edu/Mathematics/lg5/Feynman.pdf