Curated Literature
Reading Lists
Topical paper collections I maintain. Active lists grow over time; archived lists are snapshots I no longer update.
Active
2026.06
Efficient Optimizers — Paper List
Memory- and compute-efficient optimizers for deep learning and LLM training.
2026.05
LLM Post Training & Reasoning — Paper List
Methodology, techniques, and problem settings for LLM reasoning, alignment, efficiency, latent reasoning, attention sinks, and quantization.
Archived
2026.01
Efficient Diffusion Language Models — Paper List
Inference acceleration, sampling, caching, and post-training techniques for diffusion language models.
2025.09
Data-centric Methods — Paper List
Data valuation, attribution, selection, pruning, and synthesis for deep learning and LLMs.