# AmberLJC/LLMSys-PaperList

Large Language Model (LLM) Systems Paper List

Repository: https://github.com/AmberLJC/LLMSys-PaperList
Canonical: https://ross.abutalabs.com/products/llmsys-paperlist
Language: Python
License Family: other
Last push: 2026-07-25T02:03:12+00:00

## Health v2 (maintenance only)
Score: 71/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 94, release rhythm 35, longevity 84
- inputs: {"age_days": 1185, "days_push": 40, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2233, forks 119 (observed 2026-08-28T04:06:29.183821+00:00)

## What it is
A curated list of academic papers, tutorials, and projects on Large Language Model systems, covering training, serving, agentic systems, and AI-for-systems research. It includes trend analyses and reproduction scripts tracking how the field evolved from 2024 to 2026.

## Use cases
- find papers on LLM training and serving systems
- keep up with the latest LLM systems research
- research topics for a graduate thesis on MLSys
- learn about speculative decoding and sparse attention techniques
- find LLM frameworks and benchmarks for a project
- prepare for a systems for AI interview or course

## When to choose
- you want a curated, categorized reading list of LLM systems papers
- you need trend analysis of where LLM systems research is heading
- you are a researcher or student surveying the MLSys field

## When to avoid
- you need runnable software rather than a reading list
- you want a general LLM paper list not focused on systems
- you need a maintained tool with a license and releases

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, benchmarking, llm-training, llm-inference
- domain: large-language-models, machine-learning, developer-tools, tutorials, awesome-lists
- platform: python, cross-platform
- tags: paper-list, llm-systems, curated-list, research-papers, mlsys, academic-papers

## Member repositories
- AmberLJC/LLMSys-PaperList (main) score 71

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:29.183821+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:44:23.478189+00:00, confidence not recorded.
  - readme: https://github.com/AmberLJC/LLMSys-PaperList (fetched 2026-08-28T04:06:29.183821+00:00, sha 88f332aa57f6)
- Data as of 2026-08-30T08:39:29.467469+00:00.